L. Jaulin , M. Kieffer, O. Didrit and E. Walter (2001).
Applied Interval Analysis with Examples in Parameter and State Estimation,
Robust Control and Robotics, Springer-Verlag.
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L. Jaulin (2005). Représentation d'état pour la modélisation et la commande des systèmes; (Coll. Automatique de base), Hermes, 198p. Télécharger les codes Scilab.
F. Le Bars and L. Jaulin (Editors) (2013). Robotic Sailing. Proceedings of the 6th International Robotic Sailing Conference, Springer.
N. Ramdani and L. Jaulin (Editors) (2014). Mathematics in Computer Science, Volume 8, Issue 3-4, September 2014, Interval Methods and Applications, 250 pages.
L. Jaulin (2014). Automatique pour la robotique ; cours et exercices, ISTE editions.
L. Jaulin (2015). Automation for robotics, ISTE WILEY.
L. Jaulin (2015). La robotique mobile ; cours et exercices, ISTE editions.
L. Jaulin (2015). Mobile robotics, ISTE WILEY, 2015.
B. Zerr, L. Jaulin, V. Creuze, N. Debèse, I. Quidu, B. Clément and A. Billon-Coat (Editors) (2014). Quantitative Monitoring of the Underwater Environment, Proceedings of the International Marine Science and Technology Event, MOQESM'14 in Brest, France.
L. Jaulin, A. Caiti, M. Carreras, V. Creuze, F. Plumet, B. Zerr, A. Billon-Coat (Editors) (2018). Marine Robotics and Applications, Ocean Engineering & Oceanography.
S. Rohou, L. Jaulin, L. Mihaylova, F. Le Bars, S. Veres (2019). Reliable Robot Localization; A Constraint-Programming Approach Over Dynamical Systems, Wiley.
L. Jaulin. Solution globale et garantie de problèmes ensemblistes ; Application à l'estimation non linéaire et à la commande robuste. PHD thesis. Defended February 10, 1994.
L. Jaulin. Le calcul ensembliste par analyse par intervalles et ses applications. Habilitation à diriger des recherches. Defended February 15, 2000.
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[325] P. Filiol, T. Bollengier, L. Jaulin and J.C. Le Lann (2025). RISC-V-based Hardware Acceleration of Interval Contractor Primitives in the Context of Mobile Robotics, Acta Cybernetica.
[324] L. Bergantin, C. Viel and L. Jaulin (2024). Real-time braking control based on optic flow divergence onboard an underwater vehicle, Oceanic engineering Volume 310, Part 2, October 2024.
[323] E. Tomy George, L. Jaulin, V. Kreinovich, C. Lauter, and M. Ceberio (2024). Localizing robots using neural networks with interval data. Proceedings of the 10th International Workshop on Reliable Engineering Computing REC’2024, REC 2024, Beijing, Beijing, China, October 26–27.
[322] L. Jaulin, O. Kosheleva and V. Kreinovich (2024). For Discrete-Time Linear Dynamical Systems under Interval Uncertainty, Predicting Two Moments Ahead Is NP-Hard, Proceedings of the 10th International Workshop on Reliable Engineering Computing REC’2024, REC 2024, Beijing, Beijing, China, October 26–27.
[321] Q. Brateau, F. Le Bars and L. Jaulin (2024). Dimensioning a torpedo-like AUV using interval analysis, SWIM 2024, Maastricht.
[320] N. Mudiyanselage, L. Jaulin and S. Rohou (2024). Reinforced Set Projection Algorithm, SWIM 2024, Maastricht.
[319] M. Godard, L. Jaulin, D. Massé (2024). Introducing Box Chains to simplify Reachability Analysis, SWIM 2024, Maastricht.
[318] D. Esnault, L. Jaulin, S. Rohou and F. Le Bars (2024). Estimating the success probability of a set event in a probabilistic world, SWIM 2024, Maastricht.
[317] L. Jaulin (2024). Outer approximation of the occupancy set left by a mobile robot, SWIM 2024, Maastricht.
[316] L. Jaulin (2024). Asymptotically minimal interval contractors based on the centered form; Application to the stability analysis of linear time-delayed differential equations, Acta Cybernetica.
[315] J. Wan and L. Jaulin (2024). Reducing the wrapping effect of set computation via Delaunay triangulation for guaranteed state estimation of nonlinear discrete-time systems, Computing.
[314] M. Costa Vianna, E. Goubault, L. Jaulin and S. Putot (2024). Estimating the Coverage Measure and the Area Explored by a Line-Sweep Sensor on the Plane, International Journal of Approximate Reasoning.
[313] L. Jaulin (2024). Modeling and control of the rodwheel, arXiv, math.NA, 2401.08666.
[312] A. Rauh, M. Lahme, S. Rohou, L. Jaulin, T.N. Dinh, T. Raissi and M. Fnadi (2023), Offline and Online Use of Interval and Set-Based Approaches for Control and State Estimation: A Review of Methodological Approaches and Their Application, Logical Methods in Computer Science.
[311] A. Rauh, J. Soueidan, S. Rohou and L. Jaulin (2023). Experimental Validation of an Ellipsoidal State Estimation Procedure for a Magnetic Levitation System, IFAC World Congress, Jul 2023, Yokohama, Japan. pp.8494-8499.
[310] L. Jaulin (2023). Modelisation of a rolling disk with Sympy, arXiv, math.NA, 2311.16624.
[309] L. Jaulin (2023). Inertial control of a spinning flat disk, arXiv, math.NA, 2311.06528.
[308] L. Jaulin (2023). Asymptotically minimal contractors based on the centered form; Application to the stability analysis of linear systems, arXiv, math.NA, 2307.10502.
[307] L. Jaulin (2023). A contractor which is minimal for narrow boxes, SWIM 2023. Angers.
[306] P. Filiol, T. Bollengier, L. Jaulin and J.C. Le Lann (2023). A new interval arithmetic to generate the complementary of contractors, Acta Cybernetica.
[305] L. Jaulin (2023). Karush–Kuhn–Tucker conditions to build efficient contractors; Application to TDoA localization, arXiv, math.NA, 2306.09679.
[304] L. Jaulin (2023). Computation of attractors of an hybrid system, Congrès Annuel de la SAGIP, Marseille, 7-9 juin.
[303] L. Jaulin (2023). Optimal separator for an hyperbola; Application to localization, arXiv, math.NA, 2305.15519.
[302] L. Jaulin (2023). Optimal separator for an ellipse; Application to localization, arXiv, math.NA, 2305.10842.
[301] L. Jaulin (2023). Inner and outer characterization of the projection of polynomial equations using symmetries, quotients and intervals, International Journal of Approximate Reasoning
[300] M. Louedec, L. Jaulin and C. Viel (2023). Computational tractable guaranteed numerical method to study the stability of n-dimensional time-independent nonlinear systems with bounded perturbation, Automatica
[299] S. Rohou and L. Jaulin (2023). Brunovsky decomposition for dynamic interval localization, IEEE Transactions on Automatic Control
[298] A. Bourgois, A. Chaabouni, A. Rauh and L. Jaulin (2023). Proving the stability of the rolling navigation, Acta Cybernetica.
[297] M. Costa Vianna, E. Goubault, L. Jaulin and S. Putot (2022). Estimating the Coverage Measure and the Area Explored by a Side-Scan Sonar, OCEANS 2022, Hampton Roads.
[296] L. Jaulin (2022). Actions of the hyperoctahedral group to compute minimal contractors, Artificial Intelligence, Volume 313.
[295] A. Morge, V. Pelle, J. Wan and L. Jaulin (2022). Experimental Studies of Autonomous Sailing with a Radio Controlled Sailboat, IEEE Access.
[294] Q. Brateau and L. Jaulin (2022). Sea route monitoring by weather buoys using interval analysis, SWIM 2022.
[293] A. Ehambram, L. Jaulin and B. Wagner (2022). Interval-based Global Localization in Building Maps, SWIM 2022.
[292] M. Luiza Costa Vianna, E. Goubault, L. Jaulin and S. Putot (2022). A Geometric Approach to the Coverage Measure of the Area Explored by a Robot, SWIM 2022.
[291] A. Rauh, L. Jaulin and J. Alexandre dit Sandretto (2022). Algorithms for Reliable Estimation, Identification and Control, Algorithms, 15(8).
[290] A. Rauh, S. Wirtensohn, P. Hoher, J. Reuter and L. Jaulin (2022). Reliability Assessment of an Unscented Kalman Filter by Using Ellipsoidal Enclosure Techniques, Mathematics, Volume 10.
[289] L. Jaulin (2022). Symmetries for Interval Analysis, SWIM'22, Hannover.
[288] P. Filiol, T. Bollengier, L. Jaulin and J.C. Le Lann (2022). A new type of intervals for solving problems involving partially defined functions, SWIM'22, Hannover.
[287] J. Damers, L. Jaulin and S. Rohou (2022). Lie symmetries applied to interval integration, Automatica, Volume 144.
[286] A. Ehambram, L. Jaulin and B. Wagner (2022). Hybrid Interval-Probabilistic Localization in Building Maps, IEEE Robotics and Automation Letters. Volume 7, Issue: 3, page(s): 7059-7066
[285] A. Rauh, A. Bourgois, L. Jaulin (2022). Verifying Provable Stability Domains for Discrete-Time Systems Using Ellipsoidal State Enclosures, Acta Cybernetica.
[284] A. Rauh, Y. Gourret, K. Lagattu, B. Hummes, L. Jaulin, J. Reuter, S. Wirtensohn and P. Hoher (2022). Experimental Validation of Ellipsoidal Techniques for State Estimation in Marine Applications, Algorithms.
[283] R. Boukezzoula, L. Jaulin and D. Coquin (2022). A New Methodology for Solving Fuzzy Systems of Equations: Thick Fuzzy Sets Based Approach, Fuzzy Sets and Systems, 435, pp 107-128.
[282] A. Rauh, S. Rohou and L. Jaulin (2022). An Ellipsoidal Predictor-Corrector State Estimation Scheme for Linear Continuous-Time Systems with Bounded Parameters and Bounded Measurement Errors, Frontiers in Control Engineering
[281] J. Tillet, L. Jaulin, F. Le Bars and R. Boukezzoula (2022). A Fuzzy Set Estimation Using Interval Contractors: Application to Localization, Reliable Computing, pp. 4-25.
[280] T. Le Mézo, L. Jaulin, D. Massé and B. Zerr (2022). Kleene Algebra to Compute Invariant Sets of Dynamical Systems, Algorithms
[279] F. Le Bars, R. Sanchez, L. Jaulin, S. Rohou and A. Rauh (2022). An Online Interval-Based Inertial Navigation System for Control Purposes of Autonomous Boats, Frontiers in Control Engineering .
[278] A. Bourgois, S. Rohou, L. Jaulin and A. Rauh (2022). Proving Feasibility of a Docking Mission: A Contractor Programming Approach, Mathematics .
[277] L. Jaulin (2022). Géométrie et Commande des Drones, Techniques de l'ingénieur .
[276] F. Le Bars, L. Jaulin, O. Ménage and A Ponte (2022). Artificial repulsive pheromone approach for the exploration of ocean dynamics, JD'22, Angers.
[275] R. Boukezzoula, L. Jaulin, B. Desrochers and D. Coquin (2021). Thick Fuzzy Sets and Their Potential Use in Uncertain Fuzzy Computations and Modeling, IEEE Transactions on Fuzzy Systems. Volume 29, Issue 11, pp 3334-3348.
[274] L. Jaulin (2021). A boundary approach for set inversion, Engineering Applications of Artificial Intelligence, Volume 100, April 2021
[273] A. Rauh and L. Jaulin (2021). Novel Techniques for a Verified Simulation of Fractional-Order Differential Equations, Fractal and fractional.
[272] A. Rauh, A. Bourgois and L. Jaulin (2021). Union and Intersection Operators for Thick Ellipsoid State Enclosures: Application to Bounded-Error Discrete-Time State Observer Design, Algorithms.
[271] R. Neuland, M. Mantelli, B. Hummes, L. Jaulin, R. Maffei, E. Prestes and M. Kolberg (2021). Robust Hybrid Interval-Probabilistic Approach for the Kidnapped Robot Problem, International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. Vol 29, No 2.
[270] R. Neuland, F. Rodrigues, D. Pittol, L. Jaulin, R. Maffei, M. Kolberg and E. Prestes (2021). Interval inspired approach based on temporal sequence constraints to place recognition, Journal of Intelligent & Robotic Systems. vol. 102, no 4.
[269] S. Rohou and L. Jaulin (2021). Exact bounded-error continuous-time linear state estimator, Systems & Control Letters.
[268] M. Louédec and L. Jaulin (2021). Interval Extended Kalman Filter - Application to underwater localization and control, Algorithms.
[267] R. Boukezzoula, L. Jaulin, B. Desrochers and L. Foulloy (2021). Thick Gradual Sets and Their Computations: Application for Determining the Uncertain Zone Explored by an Underwater Robot, International Scientific Journal Engineering Applications of Artificial Intelligence.
[266] A. Rauh and L. Jaulin (2021). A Computationally Inexpensive Algorithm for Determining Outer and Inner Enclosures of Nonlinear Mappings of Ellipsoidal Domains, International Journal of Applied Mathematics and Computer Science, Vol. 31, No. 3.
[265] A. Rauh, A. Bourgois, L. Jaulin and J. Kersten (2021). Ellipsoidal Enclosure Techniques for a Verified Simulation of Initial Value Problems for Ordinary Differential Equations, ICCAD 2021 , Online.
[264] A. Bedouhene, B. Neveu, G. Trombettoni, L. Jaulin and S. Le Menec (2021). An Interval Constraint Programming Approach for Quasi Capture Tube Validation, CP 2021 , Montpellier, Online.
[263] D. Dubois, L. Jaulin and H. Prade (2021). Thick sets, multiple-valued mappings and possibility theory, Statistical and Fuzzy Approaches to Data Processing, with Applications to Econometrics and Other Areas - Studies in Computational Intelligence. Pages 101-109, Springer.
[262] L. Jaulin and F. Le Bars (2020). Characterizing sliding surfaces of cyber-physical systems, Acta Cybernetica. vol. 24, pages 431–448
[261] T. Le Mézo, G. Le Maillot, T. Ropert, L. Jaulin, A. Ponte and B. Zerr (2020). Design and control of a low-cost autonomous profiling float, Mechanics & Industry, Volume 21, Number 5.
[260] T. Le Mézo, L. Jaulin and B. Zerr (2020). Bracketing backward reach sets of a dynamical system, International Journal of Control, Volume 93, Issue 11.
[259] S. Rohou, B. Desrochers and L. Jaulin (2020). Set-membership state estimation by solving data association, IEEE International Conference on Robotics and Automation (ICRA)
[258] J. Tillet, L. Jaulin and F. Le Bars (2020). Non-linear control under state constraints with validated trajectories for a mobile robot towing a trailer, IROS 2020 , Las Vegas.
[257] S. Rohou, A. Bedouhene, G. Chabert, A. Goldsztejn, L. Jaulin, B. Neveu, V. Reyes and G. Trombettoni (2020). Towards a Generic Interval Solver for Differential-Algebraic CSP, CP 2020 , Louvain-la-Neuve, Belgium.
[256] L. Jaulin (2020). Characterizing Sliding Surfaces of Cyber-Physical Systems, SNR'2020 , Vienna (virtual).
[255] A. Bourgois and L. Jaulin (2020). Interval centred form for proving stability of non-linear discrete-time system, SNR'2020 , Vienna (virtual).
[254] L. Jaulin, Ocean exploration with underwater robots, MOQESM'2020 , Brest.
[253] A. Rauh and L. Jaulin (2021). A Novel Thick Ellipsoid Approach for Verified Outer and Inner State Enclosures of Discrete-Time Dynamic Systems, Proc. of 19th IFAC Symposium System Identification: Learning Models for Decision and Control.
[252] A. Bourgois, A. Chaabouni, A. Rauh and L. Jaulin (2021). Proving the stability of navigation cycles, SCAN'2020
[251] N. Mahato, L. Jaulin, S. Chakraverty and J. Dezert (2020). Validated Enclosure of Uncertain Nonlinear Equations Using SIVIA Monte Carlo, Recent Trends in Wave Mechanics and Vibrations. Lecture Notes in Mechanical Engineering. Springer. pages 455-468.
[250] J. Nicola and L. Jaulin (2020). Guaranteed nonlinear parameter estimation with additive Gaussian noise, Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy etc. Methods and Their Applications. O. Kosheleva et al. (eds.), pages 341-357, Springer.
[249] L. Jaulin and B. Desrochers (2020). Thick separators, Decision Making under Constraints, Studies in Systems, Decision and Control, M. Ceberio and V. Kreinovich (eds.). Pages 125-131.
[248] L. Jaulin and B. Desrochers (2020). Enclosing the Sliding Surfaces of a Controlled Swing, Electronic Proceedings in Theoretical Computer Science, S. Ratschan and T. Dang (eds.).
[247] C. Viel, U. Vautier, J. Wan and L. Jaulin (2019). Platooning control for sailboats using a tack strategy, International Journal of Control, Automation and Systems, Vol. 17, pp . 1-11.
[246] R. Boukezzoula, L. Jaulin and L. Foulloy (2019). Thick Gradual Intervals: An Alternative Interpretation of Type-2 Fuzzy Intervals and its Potential Use in Type-2 Fuzzy Computations, Engineering Applications of Artificial Intelligence, Volume 85, October 2019, Pages 691-712.
[245] S. Kumkov and L. Jaulin (2019). Comparison of Interval Analysis and Standard Statistical Methods for Estimating Experimental Data with Uncertainty, Measurement Techniques. May 2019, Volume 62, Issue 2, pp 105-110.
[244] C. Viel, U. Vautier, J. Wan and L. Jaulin (2019). Platooning control for heterogeneous sailboats based on constant time headway, IEEE Transactions On Intelligent Transportation Systems, Vol. 21, No 5, pp 2078-2089.
[243] U. Vautier, C. Viel, L. Jaulin, J. Wan, R. Hone, Y. Ming Dai (2019). Restricted Orientation Dubins Path with Application to Sailboats, IEEE Robotics and Automation Letters, Volume: 4, Issue:4, Pages: 4515-4522.
[242] J. Wan, C. Viel, U. Vautier and L. Jaulin (2019). Genetic algorithm-based multiple moving target reaching using a fleet of sailboats, IET Cyber-systems and Robotics. Vol. 1, No 3, pp 93-100.
[241] S. Romig, L. Jaulin and A. Rauh (2019). Using Interval Analysis to Compute the Invariant Set of a Nonlinear Closed-Loop Control System, Algorithms, Volume 12, Issue 12.
[240] L. Jaulin (2019). Naviguer comme les polynésiens, Interstices.
[239] T. Nico, L. Jaulin and B. Zerr (2019). Guaranteed Polynesian Navigation, SWIM'19
[238] I. Leblond, L. Jaulin, R. Schwab and I. Delumeau (2019). Recherche d’objets archéologiques sous-marins à partir de données multi-capteurs, GRETSI'19
[237] T. Le Mézo, G. Le Maillot, T. Ropert, L. Jaulin, A. Ponte and B. Zerr (2019). Design and control of a low-cost autonomous profiling float, CFP'19 , Brest.
[236] D. Dubois, L. Jaulin and H. Prade (2019). Ensembles épais, fonctions multivoques, et théorie des possibilités, LFA'19 , 14-15 Novembre 2019, Alès, France.
[235] T. Nico, L. Jaulin, B. Zerr, S. Tauvry and H. Ott (2019). High level strategy for revisiting objects with low cost AUVs, OCEANS 2019 , Marseille.
[234] L. Jaulin (2019). Calcul par intervalles pour la robotique mobile intelligente, Bulletin de l'Association Française pour l'Intelligence Artificielle, Numéro 104.
[233] T. Le Mézo, L. Jaulin and B. Zerr (2018). Bracketing the solutions of an ordinary differential equation with uncertain initial conditions. Applied Mathematics and Computation. Volume 318, 1 February 2018, Pages 70-79.
[232] S. Rohou, L. Jaulin, M. Mihaylova, F. Le Bars and S. Veres (2018). Reliable non-linear state estimation involving time uncertainties. Automatica. Volume 93, July 2018, Pages 379-388.
[231] L. Jaulin, M. Ceberio, O. Kosheleva and V. Kreinovich (2018). How to Efficiently Compute Ranges over a Difference Between Boxes, with Applications to Underwater Localization, Journal of Uncertain Systems, Vol.12, No.3, pp. 190-199.
[230] S. Rohou, P. Franek, C. Aubry and L. Jaulin (2018). Proving the existence of loops in robot trajectories, International Journal of Robotics Research, Vol 37, Issue 12, pp. 1500–1516.
[229] L. Jaulin, M. Ceberio, O. Kosheleva and V. Kreinovich (2018). How to Efficiently Compute Ranges Over a Difference Between Boxes, With Applications to Underwater Localization. IEEE World Congress on Computational Intelligence, WCCI 2018., Rio de Janeiro, Brazil, 08-13 July 2018.
[228] B. Desrochers, L. Jaulin and S. Kumkov (2018). Localization with data association, MSCMQ'2018, St Petersburg.
[227] S. Kumkov and L. Jaulin (2018). Comparison of interval analysis methods and standard statistical ones in a problem of estimating experimental data with uncertainties, MSCMQ'2018, St Petersburg.
[226] B. Desrochers and L. Jaulin (2018). Interval State Estimation With Data Association, SWIM 2018, Rostock.
[225] M. Le Gallic, J. Tillet, L. Jaulin and F. Le Bars. Tight slalom control for sailboat robots, IRSC'2018, Southampton.
[224] L. Jaulin. Isobath following using an altimeter as a unique exteroceptive sensor, IRSC'2018, Southampton.
[223] L. Jaulin. Explorer et revenir pour un robot sous marin avec un échosondeur pour unique capteur extéroceptif, MOQESM'2018, Brest.
[222] L. Jaulin. Moyens et méthodologies mis en oeuvre sur la Cordelière, MOQESM'2018, Brest.
[221] C. Viel, U. Vautier, J. Wan and L. Jaulin (2018). Position keeping control of an autonomous sailboat, 11th IFAC Conference on Control Applications in Marine Systems, Robotics and Vehicles, Opatija, Croatia, Volume 51, Issue 29, Pages 14-19.
[220] L. Jaulin et B. Desrochers (2018). Caractérisation d'une zone explorée par un robot sous-marin, LFA, 27èmes rencontres francophones sur la logique floue et ses applications Arras - 8-9 Novembre 2018
[219] J. Nicola and L. Jaulin (2018). Comparison of Kalman and interval approaches for the simultaneous localization and mapping of an underwater vehicle, Springer volume special issue in Ocean Engineering & Oceanography.
[218] K. Vencatasamy, L. Jaulin and B. Zerr (2018). Secure a zone from intruders with a group of robots, Springer volume special issue in Ocean Engineering & Oceanography.
[217] F. Le Bars, E. Antonio, J. Cervantes, C. De La Cruz and L. Jaulin (2018). Estimating the trajectory of low-cost autonomous robots using interval analysis: application to the euRathlon competition, Springer volume special issue in Ocean Engineering & Oceanography.
[216] N. Mahato, S. Chakraverty and L. Jaulin (2018). Fuzzy Matrix Contractor Based Approach for Localization of Robots, Recent Advances in Applications of Computational and Fuzzy Mathematics.
[215] A. Welte, L. Jaulin, M. Ceberio and V. Kreinovich (2017). Computability of the Avoidance Set and of the Set-Valued Identification Problem. Vol.11, No.2, pages129-136. Journal of Uncertain Systems.
[214] B. Desrochers and L. Jaulin (2017). Computing a guaranteed approximation of the zone explored by a robot. IEEE Transaction on Automatic Control. Volume 62, Issue 1, pages 425-430.
[213] S. Rohou, L. Jaulin, M. Mihaylova, F. Le Bars and S. Veres (2017). Guaranteed Computation of Robots Trajectories. Robotics and Autonomous Systems. Volume 93, Pages 7684.
[212] A. Welte, L. Jaulin, M. Ceberio and V. Kreinovich (2017). Avoiding Fake Boundaries in Set Interval Computing. Journal of Uncertain Systems. Vol.11, No.2, pages 137-148.
[211] B. Desrochers and L. Jaulin (2017). Thick set inversion. Artificial Intelligence. Volume 249, Issue C, Pages 1-18.
[210] T. Le Mézo, L. Jaulin and B. Zerr (2017). An interval approach to compute invariant sets. IEEE Transaction on Automatic Control. Volume 62, Number 8, Pages 4236-4243,
[209] T. Machado-Coelho, A. Machado, L. Jaulin, P. Ekel, W. Pedrycz and G. Soares (2017). An Interval Space Reducing Method for Constrained Problems with Particle Swarm Optimization. Applied Soft Computing. Volume 59, Pages 405-417.
[208] B. Desrochers and L. Jaulin (2017). Minkowski operations of sets with application to robot localization, SNR'2017, Uppsala.
[207] T. Le Mézo, L. Jaulin and B. Zerr (2017). Eulerian state estimation, SWIM'17,
[206] N. Rani Mahato, L. Jaulin and S. Chakraverty (2017). Localization for Group of Robots using Matrix Contractors, SWIM'17.
[205] B. Desrochers and L. Jaulin (2017). Chain of set inversion problems; Application to reachability analysis, IFAC'2017, Toulouse.
[204] P. Herrero, B. Delaunay, L. Jaulin, P. Georgiou, N. Oliver and C. Toumazou (2016). Robust Set-membership Parameter Estimation of the Glucose Minimal Model, Journal of Adaptive Control and Signal Processing. Volume 30, Issue 2, pages 147-148.
[203] L. Jaulin (2016). Range-only SLAM with indistinguishable landmarks; a constraint programming approach. Constraints. 21(4), 557-576.
[202] L. Jaulin (2016). Inner and outer set-membership state estimation. Reliable Computing, Vol. 22, pages 47-55.
[201] L. Jaulin, B. Desrochers and D. Massé (2016). Bisectable Abstract Domains for the resolution of equations involving complex numbers. Reliable Computing, a special issue in honor of Ray Moore, Vol. 23, pages 35-46.
[200] B. Desrochers and L. Jaulin (2016). A Minimal Contractor for the Polar Equation; Application to Robot Localization, Engineering Applications of Artificial Intelligence, Vol. 55, Pages 8392.
[199] M. Laranjeira, L. Jaulin and S. Tauvry (2016). Underwater Mosaics Using Navigation Data and Feature Extraction. Reliable Computing, Vol. 22, pages 116-137.
[198] D. Monnet, J. Ninin and L. Jaulin. (2016) Computing an inner and an outer approximation of viability kernels. Vol. 22, pages 138-148. Reliable Computing.
[197] T. Le Mézo, L. Jaulin and B. Zerr (2016). Inner approximation of a capture basin of a dynamical system, SWIM'16.
[196] G. Schvarcz Franco and L. Jaulin (2016). Avoiding Fake Boundaries in Interval Analysis, SWIM'16,
[195] E. Codres, W. Al Mashhadani, A. Brown, A. Stancu and L. Jaulin (2016). Range-Only Multistatic Radar Detection of a Windfarm Based on Interval Analysis, SWIM'16,
[194] J. Nicola and L. Jaulin (2016). OMNE is a Maximum Likelihood Estimator, SWIM'16,
[193] B. Desrochers and L. Jaulin (2016). Relaxed intersection of thick sets. SCAN'16.
[192] T. Le Mézo, L. Jaulin and B. Zerr (2016). An Interval Approach to Solve an Initial Value Problem. NUMTA'16.
[191] L. Jaulin and B. Zerr (2016). Secure a zone with robots. SCAN 2016.
[190] L. Jaulin and B. Desrochers (2016). Thick separators. COPROD'16.
[189] L. Jaulin (2016). An introduction to robotics for hydrographers. MOQESM'16.
[188] L. Jaulin and B. Zerr (2016). Secure the Biscay bay from intruders with a group of underwater robots. MOQESM'16.
[187] B. Desrochers and L. Jaulin (2016). Guaranteed Assessment of the Area Explored by an AUV. MOQESM'16.
[186] A. Welte, L. Jaulin, M. Ceberio and V. Kreinovich (2016). Robust Data Processing in the Presence of Uncertainty and Outliers: Case of Localization Problems, Proceedings of the IEEE Series of Symposia in Computational Intelligence SSCI'2016, December, Greece.
[185] L. Jaulin, D. Lopez, Le Doze, S. Le Menec, J. Ninin, G. Chabert, M. Saad and A. Stancu (2016). Computing capture tubes, Scientific Computing, Computer Arithmetic, and Validated Numerics, Lecture Notes in Computer Science. Springer. M. Nehmeier, J.W. von Gudenberg, W. Tucker (Eds) Vol. 9553, pages 209-224.
[184] N. Delanoue, L. Jaulin and B. Cottenceau (2015). An algorithm for computing a neighborhood included in the attraction domain of an asymptotically stable point. Communications in Nonlinear Science and Numerical Simulation. vol. 21, issues 1-3, pages 181-189.
[183] Q. Brefort, L. Jaulin, M. Ceberio and V. Kreinovich (2015). Towards Fast and Reliable Localization of an Underwater Object: An Interval Approach. Journal of Uncertain Systems Vol. 9.
[182] J. Nicola, L. Jaulin (2015). Contractors and Linear Matrix Inequalities, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B. Mechanical Engineering, Vol 1, number 3.
[181] M. Mustafa, A. Stancu, S. Gutierrez, E. Codres and L. Jaulin (2015). Rigid Transformation using Interval Analysis for Robot Motion Estimation. International Conference on Control Systems and Computer Science, Bucharest, Romania, 27-29 May 2015.
[180] L. Jaulin, S. Rohou, J. Nicola, M. Saad, F. Le Bars and B. Zerr (2015). Distributed localization and control of a group of underwater robots using contractor programming, SWIM'15, Prague.
[179] F. Le Bars and L. Jaulin (2015). The World Robotic Sailing Championship, a competition to stimulate the development of autonomous sailboats. OCEAN'15, May 18-21, Genova, Italy.
[178] B. Desrochers, S. Lacroix and L. Jaulin (2015). Set-Membership Approach to the Kidnapped Robot Problem, IROS'15. Hambourg.
[177] L. Jaulin (2015). Separator Algebra for State Estimation, SMART'15, Manchester.
[176] D. Monnet, L. Jaulin, J. Ninin (2015). Computing a guaranteed approximation of the viability kernel, SMART 2015, Manchester.
[175] L. Jaulin (2014). Outer approximation of attractors using an interval quantization. Reliable Computing, vol. 19, pages 261-273.
[174] L. Jaulin and B. Desrochers (2014). Introduction to the Algebra of Separators with Application to Path Planning. Engineering Applications of Artificial Intelligence, volume 33, pages 141-147.
[173] A. Bethencourt and L. Jaulin (2014). Solving non-linear constraint satisfaction problems involving time-dependant functions. Mathematics in Computer Science, special issue on Interval methods and applications, vol. 8, number 3,4, pages 503 523.
[172] C. Aubry, R. Desmare and L. Jaulin (2014). Kernel characterization of an interval function. Mathematics in Computer Science, special issue on Interval methods and applications, vol. 8, number 3,4, pages. 379-390.
[171] M. Saad, L. Jaulin and J. Grimdale (2014). Phase Based Localization for Underwater Vehicles Using Interval Analysis. Mathematics in Computer Science, special issue on Interval methods and applications, vol. 8, number 3,4, pages 495-502.
[170] R. Neuland, R. Maffei, L. Jaulin, E. Prestes, M. Kolberg (2014). Improving the precision of AUVs localization in a hybrid interval-probabilistic approach using a set-inversion strategy, Unmanned Systems, Special Issue on Autonomous Underwater Robots, Vol. 2, No. 4, pages 361-375.
[169] L. Jaulin, A. Stancu and B. Desrochers (2014). Inner and outer approximations of probabilistic sets. ICVRAM 2014.
[168] L. Jaulin and B. Desrochers (2014). Robust localisation using separators. COPROD'14.
[167] L. Jaulin, J. Ninin, G. Chabert, S. Le Menec, M. Saad, V. Le Doze and A. Stancu (2014). Computing capture tubes. SCAN'14.
[166] L. Jaulin and F. Le Bars (2014). Towing with sailboat robots, 7th International Robotic Sailing Conference, Ireland.
[165] R. Neuland, J. Nicola, R. Maffei, L. Jaulin, E. Prestes and M. Kolberg (2014). Hybridization of Monte Carlo and Set-membership Methods for the Global Localization of Underwater Robots, IROS 2014, pages 199-204.
[164] Q. Brefort, L. Jaulin, M. Ceberio and V. Kreinovich (2014). If we take into account that constraints are soft, then processing constraints Becomes algorithmically solvable. Proceedings of the IEEE Series of Symposia on Computational Intelligence SSCI'2014, Orlando, Florida, December 9-12, 2014.
[163] S. Schmitt, F. Le Bars, L. Jaulin and T. Latzel. (2014) Obstacle Avoidance for an Autonomous Marine Robot - A Vector Field Approach, 7th International Robotic Sailing Conference, Ireland.
[162] J. Nicola and L. Jaulin (2014). Guaranteed localization of an underwater robot using bathymetry data and interval analysis, Quantitative Monitoring of the Underwater Environment, Proceedings of the International Marine Science and Technology Event, MOQESM'14 in Brest, France.
[161] A. Bethencourt and L. Jaulin (2013). 3D Reconstruction Using Interval Methods on The Kinect Device Coupled With an IMU. International Journal of Advanced Robotic Systems.
[160] C. Aubry, R. Desmare and L. Jaulin (2013). Loop detection of mobile robots using interval analysis. Automatica. vol. 49, Issue 1. pages 463-470.
[159] A. Bethencourt and L. Jaulin (2013). Cooperative localization of underwater robots with unsynchronized clocks, Journal of Behavioral Robotics, Volume 4, Issue 4, pages 233-244.
[158] L. Jaulin (2013). Parametric global optimization; application to sailboat robotics, Numerical computations: theory and algorithms, NUMTA'13.
[157] L. Jaulin and F. Le Bars (2013). Sailboat as a windmill, 6th International Robotic Sailing Conference, Brest, France.
[156] V. Drevelle, L. Jaulin and B. Zerr (2013). Guaranteed Characterization of the Explored Space of a Mobile Robot by using Subpavings, NOLCOS'13.
[155] F. Le Bars, L. Jaulin and O. Ménage (2013). Suivi de ligne pour un voilier; application au robot voilier autonome VAIMOS pour l'océanographie. Journées Démonstrateur, 12-13 juin, Angers, France.
[154] F. Le Bars, J. Sliwka, O. Reynet and L. Jaulin (2012). State estimation with fleeting data, Automatica, Vol. 48, number 2, pages 381-387.
[153] L. Jaulin (2012). Solving set-valued constraint satisfaction problems. Computing. Volume 94, Issue 2, Page 297-311.
[152] S. Bazeille, I. Quidu and L. Jaulin (2012). Color-based underwater object recognition using water light attenuation. Journal of Intelligent Service Robotics. Volume 5, Number 2, pages 109-118.
[151] I. Quidu, L. Jaulin, A. Bertholom and Y. Dupas (2012). Robust Multitarget Tracking in Forward Looking Sonar Image Sequences using Navigational Data. IEEE Journal of Oceanic Engineering. Volume 37, Issue: 3, Pages: 417-430.
[150] L. Jaulin and F. Le Bars (2012). An interval approach for stability analysis; Application to sailboat robotics. IEEE Transaction on Robotics, Volume 27, Issue 5.
[149] P. Herrero, P. Georgiou, C. Toumazou, B. Delaunay and L. Jaulin (2012). An Efficient Implementation of SIVIA Algorithm in a High-Level Numerical Programming Language, Reliable computing, vol 16, pp. 239-251.
[148] L. Jaulin (2012). Combining interval analysis with flatness theory for state estimation of sailboat robots. Mathematics in Computer Science. Vol 6, Issue 4, pages 347-359.
[147] L. Jaulin (2012). Optimal control tuning of a redundant robot. Avril 2012. Roadef'12.
[146] L. Jaulin, F. Le Bars , B. Clément, Y. Gallou, O. Ménage, O. Reynet, J. Sliwka and B. Zerr (2012). Suivi de route pour un robot voilier, CIFA 2012, pages 695-702.
[145] L. Jaulin and F. Le Bars (2012). A simple controller for line following of sailboats, In Proceedings of the 5th International Robotic Sailing Conference (Springer Eds.), Cardiff, England.
[144] F. Le Bars and L. Jaulin (2012). An experimental validation of a robust controller with the VAIMOS autonomous sailboat, In Proceedings of the 5th International Robotic Sailing Conference (Springer Eds.), Cardiff, England.
[143] L. Jaulin (2012). Interval analysis and robotics, SCAN'12, Novosibirsk, Russia.
[142] M. Lhommeau, L. Jaulin and L. Hardouin (2012). A non-linear set-membership approach for the control of Discrete Event Systems, Workshop on Discrete Event Systems (WODES), October 3-5 Guadalajara, Mexico,
[141] O. Reynet and L. Jaulin (2011). A New Interval-Based Method to Characterize Estimability. International Journal of Adaptative Control and Signal Processing. Vol. 25, Issue 3, pp: 288-294.
[140] L. Jaulin (2011). Set-membership localization with probabilistic errors, Robotics and Autonomous Systems. Volume 59, issue 6, pages 489-495.
[139] M. Hladik and L. Jaulin (2011). An Eigenvalue Symmetric Matrix Contractor, Reliable Computing, volume 16, pp. 27-37.
[138] L. Jaulin (2011). Range-only SLAM with occupancy maps; A set-membership approach. IEEE-TRO. Vol 27, Issue 5, pages 1004-1010.
[137] M. Lhommeau, L. Jaulin and L. Hardouin (2011). Capture basin approximation using interval analysis. International Journal of Adaptative Control and Signal Processing. Vol. 25, Issue 3, pages 264-272.
[136] L. Jaulin (2011). Probabilistic set-membership state estimator, In: A.Rauh and E.Auer (Eds.), Modeling, Design, and Simulation of Systems with Uncertainties, Mathematical Engineering, Springer-Verlag, 2011. Volume 3, 117-128,
[135] K. Xiao, J. Sliwka and L. Jaulin (2011). A wind-independent control strategy for autonomous sailboats based on Voronoi diagram. CLAWAR'11, Paris (best paper award)
[134] J. Sliwka, J. Nicola, R. Coquelin, F. Becket, B. Clément and L. Jaulin (2011). Sailing without wind sensor and other hardware and software innovations, In Proceedings of the 4th International Robotic Sailing Conference (Springer Eds.), Germany.
[133] J. Sliwka, F. Le Bars, O. Reynet, and L. Jaulin (2011). Using interval methods in the context of robust localization of underwater robots. In NAFIPS 2011, El Paso, USA.
[132] J. Sliwka, L. Jaulin, M. Ceberio and V. Kreinovich (2011). Processing Interval Sensor Data in the Presence of Outliers, with Potential Applications to Localizing Underwater Robots. IEEE SMC.2011, Anchorage, Alaska.
[131] L. Jaulin (2010). Probabilistic set-membership approach for robust regression. Journal of Statistical Theory and Practice. Vol.4, No.1.
[130] P. Herrero, L. Jaulin, J. Vehi, M and A. Sainz (2010). Guaranteed Set-point Computation with Application to the Control of a Sailboat. International Journal of Control Automation and Systems. Vol. 8, No 1, pages 1-7.
[129] A. Goldsztejn and L. Jaulin (2010). Inner approximation of the range of vector-valued functions. Reliable Computing. Vol. 14, pages 1-23.
[128] L. Jaulin and G. Chabert (2010). Resolution of nonlinear interval problems using symbolic interval arithmetic. Engineering Applications of Artificial Intelligence. Vol. 23, Issue 6, pages 1035-1049.
[127] L. Jaulin (2010). Commande d'un skate-car par biomimétisme, CIFA 2010.
[126] L. Jaulin (2010). Solving set-valued constraint satisfaction problems. SCAN'10.
[125] F. Le bars, A. Bertholom, J. Sliwka and L. Jaulin (2010). Interval SLAM for underwater robots; a new experiment, NOLCOS 2010.
[124] L. Jaulin (2009). A nonlinear set-membership approach for the localization and map building of an underwater robot using interval constraint propagation, IEEE Transactions on Robotics, vol. 25, number 1, pages 88-98. Moore prize.
[123] G. Chabert and L. Jaulin (2009). A priori error analysis with intervals, SIAM journal on Scientific Computing, Vol.31, No.3, pages 2214-2230.
[122] L. Jaulin (2009). Robust set membership state estimation; Application to Underwater Robotics, Automatica, Vol 45, Issue 1, pages 202-206.
[121] G. Soares, R. Adriano, C. Maia, L. Jaulin, J. Vasconcelos (2009). Robust Multi-Objective TEAM 22 Problem: a Case Study of Uncertainties in Design Optimization, IEEE Transactions on Magnetics, Vol. 45, Issue 3, pages 1028-1031.
[120] G. Chabert and L. Jaulin (2009). Contractor programming, Artificial Intelligence, Vol. 173, pages 1079-1100. http://www.emn.fr/z-info/ibex/
[119] D. Lepadatu, A. Kobi, X. Baguenard and L. Jaulin (2009). Springback of Stamping Process Optimization Using Response Surface Methodology and Interval Computation. Quality Technology; Quantitative Management. Vol. 6, No. 4, pages 409-421.
[118] G.L. Soares, R.O. Parreiras, L. Jaulin, J.A. Vasconcelosa and C.A. Maia (2009). Interval robust multi-objective algorithm, Nonlinear Analysis: Theory, Methods and Applications. Vol. 71, Issue 12, pages 1818-1825.
[117] L. Jaulin and S. Bazeille (2009). Image Shape Extraction using Interval Methods, Sysid 2009, Builder5-C++ code
[116] F. Le Bars, J. Sliwka and L. Jaulin (2009). Analyse par intervalles pour le lancé de rayon et pour l'analyse de stabilité, JD-JN-MACS, Angers.
[115] J. Sliwka, F. Le Bars and L. Jaulin (2009). Calcul ensembliste pour la localisation et la cartographie robustes, JD-JN-MACS, Angers.
[114] F. Le Bars, J. Sliwka and L. Jaulin (2009). SAUCISSE, an autonomous underwater vehicle, SAUCE'09, Portmouth.
[113] G. Chabert and L. Jaulin (2009). Hull Consistency Under Monotonicity, CP'2009.
[112] G. Chabert, L. Jaulin, and X. Lorca (2009). A Constraint on the Number of Distinct Vectors with Application to Localization, CP'2009.
[111] I. Quidu, Y. Dupas and L. Jaulin (2009). Theoretical optical flow for target position prediction on FLS images, Underwater Acoustic Measurements: Technologies and Results, Nafplion, Greece, 21-26 June 2009.
[110] O. Reynet, L. Jaulin and G. Chabert (2009). Robust TDOA Passive Location Using Interval Analysis and Contractor Programming, Radar, Bordeaux, France, 12-16 October 2009.
[109] J. Sliwka, P. Reilhac, R. LeLoup, P. Crepier, H. De Malet, P. Sittaramane, F. Le Bars, K. Roncin, B. Aizier and L. Jaulin (2009). Autonomous robotic boat of ENSIETA. In 2nd International Robotic Sailing Conference, Matosinhos, Portugal.
[108] G.L. Soares, F.G. Guimaraes, C.A. Maia, J.A. Vasconcelos and L. Jaulin (2009). Interval robust multi-objective evolutionary algorithm. In: IEEE Congress on Evolutionary Computation (CEC), 2009, Trondheim, IEEE Press, 1637-1643.
[107] G. Soares, A. Arnold-Bos, L. Jaulin, J. A. Vasconcelos and C. A. Maia (2008). An interval-based target tracking approach for range-only multistatic radar, IEEE Transactions on Magnetics, vol. 44, issue 6, pages 1350-1353.
[106] S. Lagrange, L. Jaulin, V. Vigneron and C. Jutten, Nonlinear blind parameter estimation (2008). IEEE TAC, vol. 53, issue 4, pages 834-838.
[105] S. Lagrange, N. Delanoue and L. Jaulin (2008). Injectivity analysis using interval analysis. Application to Structural Identifiability, Automatica, Volume 44, Issue 11, pages 2959-2962.
[104] L. Jaulin et G. Chabert (2008). QUIMPER : un langage de programmation pour le calcul ensembliste ; Application à l'automatique. CIFA Septembre 2008, Bucarest, Roumanie. Quimper for windows.
[103] N. Delanoue, L. Jaulin, L. Hardouin and M. Lhommeau (2008). Guaranteed Characterization of Capture Basins of Nonlinear State-space Systems, Informatics in Control, Automation and Robotics, Lecture notes in Electrical Engineering, Springer.
[102] N. Delanoue, L. Jaulin and B. Cottenceau (2007). Guaranteeing the homotopy type of a set defined by nonlinear inequalities, Reliable computing, volume 13, issue 5, pages 381-398.
[101] S. Lagrange, N. Delanoue and L. Jaulin (2007). On sufficient conditions of injectivity, development of a numerical test via interval analysis. Reliable computing, volume 13, issue 5, pages 409-421.
[100] S. Bazeille, L. Jaulin, I. Quidu and J.P Malkasse (2007) Une méthode de prétraitement automatique pour le débruitage des images sous marines, Traitement du signal.
[99] I. Braems, N. Ramdani, M. Kieffer, L. Jaulin, E. Walter and Y. Candau (2007). Guaranteed characterization of thermal conductivity and diffusivity in presence of model uncertainty, Inverse Problems in Science and Engineering. Vol 15, No 8, 895-910.
[98] G. Chabert and L. Jaulin (2007). Computing the pessimism of inclusion functions, Reliable computing, volume 13, issue 6, 489-504
.[97] L. Jaulin (2007) Control of a wheeled stair-climbing robot using linear programming, ICRA'07, Download the Scilab simulation.
[96] L. Jaulin, A. Bertholom, F. Dabe and M. Legris (2007). A set approach to the simultaneous localization and map building; application to underwater robots. ICINCO 2007, Angers.
[95] M. Lhommeau, L. Jaulin and L. Hardouin (2007). Inner and outer approximation of capture basins using interval analysis. ICINCO'07, Angers.
[94] S. Bazeille, L. Jaulin and I. Quidu (2007). Identification of underwater man-made object using a colour criterion, Proceedings of the Institute of Acoustics, Vol. 29.
[93] A. Mazeika, L. Jaulin, and C. Osswald (2007). A new approach for computing with fuzzy sets using interval analysis. 10th International Conference on Information Fusion pages 1-8, Québec, Canada.
[92] M. Di-Loreto, M. Dao, L. Jaulin, J.F. Lafay and J.J. Loiseau (2007). Applied interval computation: a new approach for time-delay system analysis. In Application of Time-Delay Systems, Lecture Notes in Control and Information Science, pages 175-197, Vol 352, ISBN: 978-3-540-49555-0.
[91] L. Jaulin (2006). Computing minimal-volume credible sets using interval analysis; Application to Bayesian estimation, IEEE Trans. on Signal Processing, Volume 54, Issue 9, Pages 3632-3636.
[90] S. Lagrange, L. Jaulin, V. Vigneron and C. Jutten (2006). Identification en aveugle des paramètres de systèmes non linéaires, Journal Europeen des Systèmes Automatisés (JESA), Volume 40, number 8, pages 847-865.
[89] L. Jaulin (2006). Localization of an underwater robot using interval constraints propagation. CP'06. Télécharger le code C++ builder 5.
[88] L. Jaulin and A. Bertholom (2006). Localization of an AUV using set-membership methods. SeaTechWeek. 16-19 octobre 2006.
[87] S. Bazeille, L. Jaulin, I. Quidu, and J.P Malkasse (2006). Automatic underwater image pre-preprocessing, SeaTechWeek, Caractérisation du Milieu Marin, Brest, France.
[86] A. Goldsztejn and L. Jaulin (2006). Inner and outer approximations of existentially quantified equality constraints. CP06.
[85] S. Lagrange, N. Delanoue and L. Jaulin (2006). Test of Injectivity via Interval Analysis. Twelfth International Conference on Principles and Practice of Constraint Programming (IntCP 2006), France, Nantes, 21 Sept 2006.
[84] N. Delanoue, L. Jaulin and B. Cottenceau (2006). Attraction domain of a nonlinear system using interval analysis. Twelfth International Conference on Principles and Practice of Constraint Programming (IntCP 2006), France, Nantes, 21 Sept 2006.
[83] L. Jaulin, M. Legris and F. Dabe (2006). GESMI, un logiciel pour l'aide à localisation de mines sous-marines, JIME'06 (Journées Identification et Modélisation Expérimentale), Poitiers.
[82] L. Cros, C. Gervaise, I. Quidu, L. Jaulin and Y. Stephan (2006). A new concept of ocean acoustic tomography , Caractérisation du milieu marin, Brest, France, 16-19.
[81] N. Delanoue, L. Jaulin and B. Cottenceau (2006). Counting the Number of Connected Components of a Set and Its Application to Robotics. In Applied Parallel Computing, J. Dongarra, K. Madsen, J. Wasniewski (Eds.), Lecture Notes in Computer Science. Volume 3732. pages 93-101.
[80] L. Jaulin and D. Henrion (2005). Contracting optimally an interval matrix without loosing any positive semi-definite matrix is a tractable problem, Reliable Computing, Volume 11, issue 1, pages 1-17.
[79] N. Delanoue, L. Jaulin and B. Cottenceau (2005). Using interval arithmetic to prove that a set is path-connected, Theoretical Computer Science, Special issue: Real Numbers and Computers, Volume 351, Issue 1, February 2006, pages 119-128.
[78] P. Herrero Vinas, M.A. Sainz, J. Vehi and L. Jaulin (2005). Quantified Set Inversion Algorithm with Applications to Control. Reliable computing, Volume 11, issue 5, pages 369-382.
[77] I. Braems, N. Ramdani, A. Boudenne, M. Kieffer, L. Jaulin, L. Ibos, E. Walter and Y. Candau (2005). New set-membership techniques for parameter estimation in presence of model uncertainty, 5th International Conference on Inverse Problems, in engineering : theory and practice, Cambridge, UK, July 11-15, 2005.
[76] P. Herrero Vinas, L. Jaulin, J. Vehi and M. A. Sainz (2005). Inner and outer approximation of the polar diagram of a sailboat, IntCP'05 Workshop on Interval Analysis and Constraint Propagation for Applications, Barcelona, Spain, October 2005. Démo.
[75] D. Lepadatu, X. Baguenard, A. Kobi, R. Hambli and L. Jaulin (2005). New response surface method for manufacturing process optimization using interval computation. Qualita 2005, 6th Multi Disciplinary International Conference Quality and Dependability, Prague.
[74] L. Jaulin, S. Ratschan and L. Hardouin (2004). Set computation for nonlinear control, Reliable Computing, Volume 10, issue 1, pages 1-26
.[73] M. Lhommeau, L. Hardouin, B. Cottenceau and L. Jaulin (2004). Interval Analysis and Dioid : Application to Robust Controller Design for Timed Event Graphs, Automatica, Volume 40, Issue 11, Pages 1923-1930.
[72] M. Di-Loreto, M. Dao, L. Jaulin, J.F. Lafay and J.J. Loiseau (2004). Applied interval computation: a new approach for time-delay system analysis. Workshop CNRS-NSF Application of Time-Delay Systems, Nantes, September 13-15.
[71] M. Dao, M. Di-Loreto, L. Jaulin, J.F. Lafay and J.-J. Loiseau (2004). Application des méthodes intervalles aux systèmes à retards, CIFA'04, Douz (Tunisie).
[70] L. Jaulin (2004). Bayesian estimation using interval analysis, Franco-Japanese Workshop on Constraint Programming, Tokyo, Japan, October 25-27.
[69] P. Herrero Vinas, M. A. Sainz, J. Vehi and L. Jaulin (2004). Quantified Set Inversion Algorithm with Applications to Control, IEEE International Symposium on Computed Aided Control Systems Design, pages 179-183, Taiwan.
[68] L. Jaulin (2004). Modélisation et commande d'un bateau à voile, CIFA2004 (Conférence Internationale Francophone d'Automatique), Douz (Tunisie).
[67] S. Lagrange, L. Jaulin, V. Vigneron and C. Jutten (2004). Independent Component Analysis and blind signal separation, Analytical solution of the blind source separation problem using derivatives, Lecture Notes in Computer Science, Volume 3195, pages 81-88.
[66] X. Baguenard, M. Dao, L. Jaulin et W. Khalil (2003). Méthodes ensemblistes pour l'étalonnage géométrique, Journal Européen des Systèmes Automatisés, Volume 37, number 9, pages 1059-1074.
[65] A. Bottino, L. Jaulin and A. Laurentini (2003). Finding feasible parameter sets for shape from silhouettes with unknown position of the viewpoints, International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision'2003, February 3-7 2003, Bory, Czech Republic.
[64] A. Bottino, L. Jaulin and A. Laurentini (2003). Reconstructing 3D Objects from Silhouettes with Unknown Viewpoints: The Case of Planar Orthographic Views. CIARP 2003, Havana, Cuba, 153-162,
[63] M. Lhommeau, L. Hardouin, B. Cottenceau, L. Jaulin (2003). Robust controller Design for Timed Event Graphs in Dioid, Emerging Technologies and Factory Automation (ETFA'2003) Lisbon, Portugal.
[62] M. Dao, X. Baguenard and L. Jaulin (2003). Projection d'ensembles pour l'estimation de paramètres, la conception de robots et la commande robuste, Journées Doctorales d'Automatique (JDA2003), Valenciennes, juin.
[61] X. Baguenard, M. Dao, L. Jaulin and W. Khalil (2003). Etalonnage géométrique d'un robot à six degrés de liberté, Journées Doctorales d'Automatique (JDA2003), Valenciennes, juin 2003.
[60] L. Jaulin and D. Henrion (2003). Linear matrix inequalities for interval constraint propagation, Workshop IntCP'03, Interval Analysis and Constraint Propagation for Applications Ireland, September 29th, 2003.
[59] I. Braems, L. Jaulin, M. Kieffer, N. Ramdani and E. Walter (2003). Reliable parameter estimation in presence of uncertain variables that are not estimated, 13th IFAC Symposium On System Identification, Rotterdam, SYSID 2003, pp 1856-1861.
[58] E. Walter, I. Braems, L. Jaulin and M. Kieffer (2003). Guaranteed Numerical Computation as an alternative to Computer Algebra for Testing Models for Identifiability, 124-131, Numerical Software with Result Verification International Dagstuhl Seminar , Dagstuhl Castle, Germany, January 19-24, R. Alt, A. Frommer, B. Kearfott, and W. Luther, Springer.
[57] L. Jaulin (2002). Propagation de contraintes sur les intervalles pour l'estimation ensembliste. Numéro spécial de JESA : Identification des systèmes. volume 36, number 3, page 383-395. Download the C++ Code (Builder 5).
[56] M. Kieffer, L. Jaulin and E. Walter (2002). Guaranteed recursive non‐linear state bounding using interval analysis, International journal of adaptative control and signal processing, 16, pages 193-218.
[55] L. Jaulin (2002). Nonlinear bounded-error state estimation of continuous-time systems. Automatica, vol. 38, pages 1079-1082. C++ Code.
[54] L. Jaulin and E. Walter (2002). Guaranteed robust nonlinear minimax estimation. IEEE Transaction on Automatic Control. Volume 47, number 11, pages 1857-1864.
[53] D. Meizel, O. Lévêque, L. Jaulin and E. Walter (2002). Initial Localization by Set Inversion, IEEE Transactions on Robotics and Automation, Volume 18, Number 6, pages 966-971.
[52] L. Jaulin, M. Kieffer, E Walter and D. Meizel (2002). Guaranteed robust nonlinear estimation, with application to robot localization, IEEE Transactions on systems, man and cybernetics; Part C Applications and Reviews, Volume 32, Number 4, pages 374-382. C++ (builder 5) code.
[51] L. Jaulin, I. Braems and E. Walter (2002). Interval methods for nonlinear identification and robust control, CDC2002, In Proceedings of the 41st IEEE Conference on Decision and Control (CDC), Las Vegas, Volume 4, 10-13 decembre 2002, pages 4676-4681. Download the Scilab program.
[50] L. Jaulin, M. Christie and L. Granvilliers (2002). Quelques applications de la propagation de contraintes sur les domaines continus en automatique, Journées Francophones de Programmation Logique et Programmation par Contraintes (JFPLC 2002), Nice, 27-29 Mai 2002.
[49] L. Jaulin (2002). Estimation d'état de systèmes non-linéaires à temps continus par une approche ensembliste. Conférence Internationale Francophone d'Automatique, Nantes, 8-10 juillet 2002. Download the C++ Code (Builder 3).
[48] I. Braems, L. Jaulin, M. Kieffer et E. Walter (2002). Identifiabilités, discernabilités et analyse par intervalles, Conférence Internationale Francophone d'Automatique, pages 823-828, Nantes, 8-10, juillet.
[47] L. Jaulin (2002). Consistency techniques for the localization of a satellite. 1st International Workshop on Global Constrained Optimization and Constraint Satisfaction (Cocos'02), Valbonne - Sophia Antipolis (Nice), France. October 2-4. Download the constraints for RealPaver.
[46] I. Braems, F. Berthier, L. Jaulin, M. Kieffer and E. Walter (2001). Guaranteed estimation of electrochemical parameters by set inversion using interval analysis, Journal of Electroanalytical Chemistry, Volume 495, Issue 1, Pages 1-9.
[45] L. Jaulin (2001). Path planning using intervals and graphs. Reliable Computing, issue 1, volume 7, pages 1-15.
[44] L. Jaulin (2001). Reliable minimax parameter estimation. Reliable Computing, issue 3, volume 7, pages 231-246.
[43] L. Jaulin, M. Kieffer, I. Braems and E. Walter (2001). Guaranteed nonlinear estimation using constraint propagation on sets. International Journal of Control, volume 74, number 18, pages 1772-1782.
[42] E. Walter, L. Jaulin and M. Kieffer (2001). Interval Analysis for guaranteed and robust nonlinear estimation in robotics, Nonlinear Analysis. 47, pages 191-202.
[41] L. Jaulin (2001). Propagation de contraintes sur les intervalles ; application à l'estimation à erreurs bornées. JIME'2001, Nancy, 29-30 mars 2001. Download the C++ Code (Builder 5).
[40] S. Ratschan and L. Jaulin (2001). Solving composed quantified constraints from discrete-time robust control. Workshop of the ERCIM working group on constraints, Prague, June 18,20.
[39] M. Kieffer, E. Walter, I. Braems and L. Jaulin (2001). Interval analysis for nonlinear parameter and state estimation: contributions and limitations. IFAC symposium on nonlinear and control systems (NOLCOS), Saint Petersburg.
[38] L. Granvilliers and L. Jaulin (2001) Introduction aux contraintes d'intervalles ; Application à l'estimation à erreurs bornées. Journées S3P Simulation de Produits, de Procédés et de Processus industriels.
[37] I. Braems, L. Jaulin, M. Kieffer and E. Walter (2001). Guaranteed numerical alternatives to structural identifiability testing, IEEE Conference on Decision and Control, Orlando, 4-7 Décembre 2001 Volume 4, pages 3122-3127.
[36] L. Jaulin and E. Walter (2001). Bounded-error parameter estimation using interval computation, in W. Pedrycz, Granular Computing: An Emerging Paradigm, series: Studies in Fuzziness and Soft Computing, pages 58-71, edited by Witold Pedrycz, Physica-Verlag, Heidelberg, 2001, ISBN 3-7908-1387-7.
[35] M. Kieffer, L. Jaulin, I. Braems and E. Walter (2001). Guaranteed set computation with subpavings. In W. Kraemer and J. W. Gudenberg (Eds), Scientific Computing, Validated Numerics, Interval Methods, pages 167-178, Kluwer Academic Publishers, Boston/Dordrecht/London.
[34] L. Jaulin, I. Braems, M. Kieffer and E. Walter (2001). Nonlinear State Estimation Using Forward-Backward Propagation of Intervals, In W. Kraemer and J. W. Gudenberg (Eds), Scientific Computing, Validated Numerics, Interval Methods, pages 191-204, Kluwer Academic Publishers, Boston/Dordrecht/London. C++ code (Builder 3).
[33] I. Braems, L. Jaulin, M. Kieffer and E. Walter (2001). Set computation, computation of volumes and data safety. In W. Kraemer and J. W. Gudenberg (Eds), Scientific Computing, Validated Numerics, Interval Methods, pp 267-280, Kluwer Academic Publishers, Boston/Dordrecht/London.
[32] I. Braems, F. Berthier, L. Jaulin, M. Kieffer et E. Walter (2001). Estimation et traitement garanti des incertitudes de mesure: applications en électrochimie, C2I 2001, Paris (France). Instrumentation pour les mesures physiques, F. Lepoutre, D. Placko and Y. Surrel (Eds.), Hermès Science Publications, Paris, (1) pages 55-62.
[31] L. Jaulin, E. Walter, O. Lévêque and D. Meizel (2000). Set inversion for chi-algorithms, with application to guaranteed robot localization, Math. Comput. Simulation, 52, pages 197-210.
[30] M. Kieffer, L. Jaulin, E. Walter and D. Meizel (2000). Robust autonomous robot localization using interval analysis, Reliable Computing. 3(6), pages 337-361.
[29] L. Jaulin (2000). Interval constraint propagation with application to bounded-error estimation, Automatica, 36, pages 1547-1552.
[28] M. Kieffer, L. Jaulin, E. Walter and D. Meizel (2000). Localisation et suivi robustes d'un robot mobile grâce a l'analyse par intervalles. Traitement du signal, numéro spécial sur la robotique: fusion de données pour véhicules intelligents, volume 17, no 3.
[27] S. Brahim-Belhouari, M. Kieffer, G. Fleury, L. Jaulin and E. Walter (2000). Model selection via worst-case criterion for nonlinear bounded-error estimation. IEEE Instrumentation and Measurement, Volume 49, Number 3, 653-658.
[26] M. Kieffer, L. Jaulin, E. Walter and D. Meizel (2000). Robust autonomous robot tracking using interval analysis. Sysid 2000.
[25] E. Walter, L. Jaulin and M. Kieffer (2000). Interval Analysis for guaranteed and robust nonlinear estimation in robotics, Third World Congress of Nonlinear Analysts (WCNA).
[24] L. Jaulin and J. Burger (1999). Proving set inclusion via intervals: Application to parametric robust stability, Automatica, 35(4).
[23] L. Jaulin, J.L. Boimond and L. Hardouin (1999). Estimation of discrete-event systems using interval computation, Reliable Computing, 5(2), pages 165-173.
[22] L. Jaulin and E. Walter (1999). Guaranteed bounded-error parameter estimation for nonlinear models with uncertain experimental factors, Automatica, 35(5), pages 849-856.
[21] M. Kieffer, L. Jaulin, E. Walter and D. Meizel (1999). Guaranteed mobile robot tracking using interval analysis, MISC'99 Workshop on Application of Interval Analysis to System and Control, Girona, 24-26 février 1999, 347-360.
[20] L. Jaulin and A. Godon (1999). Motion planning using interval analysis. MISC'99 Workshop on Application of Interval Analysis to System and Control, Girona, 24-26 February 1999, 335-346.
[19] S. Brahim-Belhouari, M. Kieffer, G. Fleury, L. Jaulin and E. Walter (1999). Model selection via worst-case criterion for nonlinear bounded-error estimation. Proceedings 16th IEEE Instrumentation and Measurement Tech. Conf., Venise, 24-26 mai 1999, pages 1075-1080.
[18] M. Kieffer, L. Jaulin, E. Walter and D. Meizel (1999). Localisation et suivi garantis d'un robot par analyse par intervalles, JDA'99.
[17] M. Kieffer, L. Jaulin, E. Walter and D. Meizel (1999). Nonlinear Identification Based on Unreliable Priors and Data, with Application to Robot Localization, Robustness in Identification and Control,. A. Garulli, A. Tesi and A. Vicino (Eds.), Springer, London. 190-203.
[16] M. Kieffer, L. Jaulin and E. Walter (1998)) Guaranteed recursive nonlinear state estimation using interval Analysis, CDC-98, Proceedings of IEEE Conference on Decision and Control, volume 4, pages 3966-3971, Tampa, Florida, 16-18 décembre 1998.
[15] L. Jaulin and E. Walter (1997). Global numerical approach to nonlinear discrete-time control, IEEE Trans. on Autom. Control, 32, pages 872-875.
[14] L. Jaulin, J.L Godet, E. Walter, A. Elliasmine and Y. Leduff (1997). Light scattering data analysis via set inversion, Journal of Physics A: Mathematical and General, 30, pages 7733-7738.
[13] O. Lévêque, L. Jaulin, D. Meizel and E. Walter (1997). Vehicle localization from inaccurate telemetric data: a set-inversion approach, Proc. 5th IFAC Symp. on Robot Control SY.RO.CO.'97, Nantes, France, 179-186.
[12] L. Jaulin and E. Walter (1996). Guaranteed tuning, with application to robust control and motion planning. Automatica, 32(8), pages 1217-1221.
[11] L. Jaulin and E. Walter (1996). Guaranteed nonlinear set estimation via interval analysis, Bounding Approaches to System Identification, M. Milanese, J. Norton, H. Piet-Lahanier and E. Walter (Eds.), Plenum, New York. 363-382.
[10] L. Jaulin, E. Walter and O. Didrit (1996). Guaranteed robust nonlinear parameter bounding, CESA'96 IMACS Multiconference Symposium on Modelling, Analysis and Simulation, Lille, 1156-1161.
[9] O. Didrit, L. Jaulin and E. Walter (1995). Guaranteed analysis and optimization of parametric systems, European Journal of Control, 3, pages 66-80.
[8] E. Walter and L. Jaulin (1994). Guaranteed characterization of stability domains via set inversion, IEEE Trans. on Autom. Control, 39(4), pages 886-889.
[7] L. Jaulin and E. Walter (1994). Guaranteed nonlinear parameter estimation via interval computations, Interval computation.
[6] L. Jaulin and E. Walter (1994). Set inversion, with application to guaranteed nonlinear estimation and robust control, Modeling Techniques for Uncertain Systems, A.B. Kurzhanski, V.M. Veliov (Eds.), Birkhauser, Boston. 3-20.
[5] L. Jaulin and E. Walter (1993). Guaranteed nonlinear parameter estimation from bounded-error data via interval analysis, Math. Comput. Simulation, 35, pages 123-127.
[4] L. Jaulin and E. Walter (1993). Set inversion via interval analysis for nonlinear bounded-error estimation, Automatica, 29(4), pages 1053-1064.
[3] L. Jaulin and E. Walter (1993). Guaranteed nonlinear estimation and robust stability analysis via set inversion. Proc. 2nd European Control Conference, June 28, July 1, Groningen, 818- 821.
[2] L. Jaulin and E. Walter (1993). Guaranteed nonlinear parameter estimation via interval computations, Conference on Numerical Analysis with Automatic Result Verification, Feb 25, March 3, Lafayette.
[1] L. Jaulin and E. Walter (1992). Set inversion, with application to guaranteed nonlinear estimation and robust control, Proc. of the Workshop on Modelling Techniques for Uncertain Systems, Sopron, July 6-10 1992.