Publications



Books

book_aia.gif book_aia_ru.jpg book_automation_fr.gif book_rob_en.jpg book_sail13.gif book_automation_en.jpg book_etat.gif book_moqesm14.jpg book_rob_fr.jpg book_swim14.gif

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. Table of content. Errata.
The Russian version: http://shop.rcd.ru/details/398. Download the Russian Cover.

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.


Thesis

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.


Journal papers

[1] L. Jaulin and E. Walter (1993). Guaranteed nonlinear parameter estimation from bounded-error data via interval analysis, Math. Comput. Simulation, 35, pages 123-127.

[2] L. Jaulin and E. Walter (1993). Set inversion via interval analysis for nonlinear bounded-error estimation, Automatica, 29(4), pages 1053-1064.

[3] E. Walter and L. Jaulin (1994). Guaranteed characterization of stability domains via set inversion, IEEE Trans. on Autom. Control, 39(4), pages 886-889.

[4] L. Jaulin and E. Walter (1994). Guaranteed nonlinear parameter estimation via interval computations, Interval computation.

[5] O. Didrit, L. Jaulin and E. Walter (1995). Guaranteed analysis and optimization of parametric systems, European Journal of Control, 3, pages 66-80.

[6] L. Jaulin and E. Walter (1996). Guaranteed tuning, with application to robust control and motion planning. Automatica, 32(8), pages 1217-1221.

[7] L. Jaulin and E. Walter (1997). Global numerical approach to nonlinear discrete-time control, IEEE Trans. on Autom. Control, 42, pages 872-875.

[8] 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.

[9] L. Jaulin and J. Burger (1999). Proving set inclusion via intervals: Application to parametric robust stability, Automatica, 35(4).

[10] L. Jaulin, J.L. Boimond and L. Hardouin (1999), Estimation of discrete-event systems using interval computation, Reliable Computing, 5(2), pages 165-173.

[11] L. Jaulin and E. Walter (1999). Guaranteed bounded-error parameter estimation for nonlinear models with uncertain experimental factors, Automatica, 35(5), pages 849-856.

[12] 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.

[13] M. Kieffer, L. Jaulin, E. Walter and D. Meizel (2000). Robust autonomous robot localization using interval analysis, Reliable Computing. 3(6), pages 337-361.

[14] L. Jaulin (2000). Interval constraint propagation with application to bounded-error estimation, Automatica, 36, pages 1547-1552.

[15] 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.

[16] 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.

[17] 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.

[18] L. Jaulin (2001). Path planning using intervals and graphs. Reliable Computing, issue 1, volume 7, pages 1-15.

[19] L. Jaulin (2001). Reliable minimax parameter estimation. Reliable Computing, issue 3, volume 7, pages 231-246.

[20] 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.

[21] E. Walter, L. Jaulin and M. Kieffer (2001). Interval Analysis for guaranteed and robust nonlinear estimation in robotics, Nonlinear Analysis. 47, pages 191-202.

[22] 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).

[23] M. Kieffer, L. Jaulin and E. Walter (2002), Guaranteed recursive nonlinear state estimation using interval Analysis, International journal of adaptative control and signal processing, 16, pages 193-218.

[24] L. Jaulin (2002). Nonlinear bounded-error state estimation of continuous-time systems. Automatica, 38, pages 1079-1082. C++ Code.

[25] L. Jaulin and E. Walter (2002). Guaranteed robust nonlinear minimax estimation. IEEE Transaction on Automatic Control. Volume 47, number 11, pages 1857-1864.

[26] 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.

[27] 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.

[28] 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.

[29] L. Jaulin, S. Ratschan and L. Hardouin (2004). Set computation for nonlinear control, Reliable Computing, Volume 10, issue 1, pages 1-26.

[30] 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.

[31] 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.

[32] 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.

[33] 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.

[34] 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.

[35] 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.

[36] 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.

[37] 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.

[38] 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.

[39] 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.

[40] G. Chabert and L. Jaulin (2007), Computing the pessimism of inclusion functions, Reliable computing, volume 13, issue 6, 489-504.

[41] 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.

[42] S. Lagrange, L. Jaulin, V. Vigneron and C. Jutten, Nonlinear blind parameter estimation (2008). IEEE TAC, vol. 53, issue 4, pages 834-838.

[43] 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.

[44] 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.

[45] G. Chabert and L. Jaulin (2009). A priori error analysis with intervals, SIAM journal on Scientific Computing, Vol.31, No.3, pages 2214-2230.

[46] L. Jaulin (2009). Robust set membership state estimation; Application to Underwater Robotics, Automatica, Vol 45, Issue 1, pages 202-206.

[47] 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.

[48] G. Chabert and L. Jaulin (2009). Contractor programming, Artificial Intelligence, Vol. 173, pages 1079-1100. http://www.emn.fr/z-info/ibex/

[49] 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.

[50] 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.

[51] L. Jaulin (2010). Probabilistic set-membership approach for robust regression. Journal of Statistical Theory and Practice. Vol.4, No.1.

[52] 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.

[53] A. Goldsztejn and L. Jaulin (2010). Inner approximation of the range of vector-valued functions. Reliable Computing. pages 1-23.

[54] 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.

[55] 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.

[56] L. Jaulin (2011). Set-membership localization with probabilistic errors, Robotics and Autonomous Systems. volume 59, issue 6, pages 489-495.

[57] M. Hladik and L. Jaulin (2011). An Eigenvalue Symmetric Matrix Contractor, Reliable Computing, pp. 27-37.

[58] L. Jaulin (2011). Range-only SLAM with occupancy maps; A set-membership approach. IEEE-TRO. Vol 27, Issue 5, pages 1004-1010.

[59] 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.

[60] F. Le Bars, J. Sliwka, O. Reynet and L. Jaulin (2012). State estimation with fleeting data, Automatica, Vol. 48, number 2, pages 381-387.

[61] L. Jaulin (2012). Solving set-valued constraint satisfaction problems. Computing. Volume 94, Issue 2, Page 297-311.

[62] 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.

[63] 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.

[64] 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.

[65] 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, pp. 239-251.

[66] 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.

[67] 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.

[68] C. Aubry, R. Desmare and L. Jaulin (2013). Loop detection of mobile robots using interval analysis. Automatica. vol. 49, Issue 1. pages 463-470.

[69] 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.

[70] L. Jaulin (2014). Outer approximation of attractors using an interval quantization. Reliable Computing, vol. 19, pages 261-273.

[71] 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.

[72] 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.

[73] 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.

[74] 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.

[75] 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.

[76] 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.

[77] 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.

[78] 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.

[79] 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.

[80] L. Jaulin (2016). Pure range-only SLAM with indistinguishable marks. Constraints. 21(4), 557-576. video.

[81] L. Jaulin (2016). Inner and outer set-membership state estimation. Reliable Computing, Vol. 21, pages 44-55.

[82] 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.

[83] 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 83–92.

[84] M. Laranjeira, L. Jaulin and S. Tauvry (2016). Underwater Mosaics Using Navigation Data and Feature Extraction. Reliable Computing, Vol. 22, pages 116-137, Video.

[85] 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. Viabibex.

[86] 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.

[87] B. Desrochers and L. Jaulin (2017). Computing a guaranteed approximation the zone explored by a robot. IEEE Transaction on Automatic Control. Volume 62, Issue 1, pages 425-430.

[88] 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 76–84.

[89] 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, pages137-148.

[90] B. Desrochers and L. Jaulin (2017). Thick set inversion. Artificial Intelligence. Volume 249, Issue C, Pages 1-18.

[91] 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,

[92] 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.

[93] 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.

[94] T. Le Mézo, L. Jaulin and B. Zerr. Bracketing the capture basin of a dynamical system. Submitted.

[95] S. Rohou, L. Jaulin, L. Mihaylova, F. Le Bars, S. Veres. Reliable non-linear state estimation involving time uncertainties. Submitted to Automatica, 2017.

[96] J. Nicola and L. Jaulin. Guaranteed nonlinear parameter estimation with additive Gaussian noise. To be submitted.

[97] S. Rohou, L. Jaulin, L. Mihaylova, F. Le Bars and S. Veres. Robot Localization in an Unknown but Symmetric Environment To be submitted.


Conferences

[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.

[2] 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.

[3] 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.

[4] L. Jaulin, E. Walter and O. Didrit (1996). Guaranteed robust nonlinear parameter bounding, CESA'96 IMACS Multiconference Symposium on Modelling, Analysis and Simulation, Lille, 2, 1156-1161.

[5] 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, 1, 179-186.

[6] M. Kieffer, L. Jaulin and E. Walter, 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.

[7] 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.

[8] 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.

[9] 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.

[10] M. Kieffer, L. Jaulin, E. Walter and D. Meizel (1999). Localisation et suivi garantis d'un robot par analyse par intervalles, JDA'99.

[11] M. Kieffer, L. Jaulin, E. Walter and D. Meizel (2000). Robust autonomous robot tracking using interval analysis. Sysid 2000.

[12] 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).

[13] 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).

[14] 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.

[15] 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.

[16] 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.

[17] 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.

L. Jaulin, I. Braems and E. Walter (2002). [18] 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.

[19] 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.

[20] 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).

[21] 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.

[22] 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.

[23] 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.

[24] 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,

[25] M. Lhommeau M., 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, Sept.

[26] 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.

[27] 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.

[28] 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.

[29] 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, SYSID2003, pages1856-1861.

[30] 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.

[31] 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).

[32] L. Jaulin (2004). Bayesian estimation using interval analysis, Franco-Japanese Workshop on Constraint Programming, Tokyo, Japan, October 25-27.

[33] 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.

[34] L. Jaulin (2004). Modélisation et commande d'un bateau à voile, CIFA2004 (Conférence Internationale Francophone d'Automatique), Douz (Tunisie).

[35] 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.

[36] 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.

[37] 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.

[38] L. Jaulin (2006). Localization of an underwater robot using interval constraints propagation. CP'06. Télécharger le code C++ builder 5.

[39] L. Jaulin and A. Bertholom (2006). Localization of an AUV using set-membership methods. SeaTechWeek. 16-19 octobre 2006.

[40] S. Bazeille, L. Jaulin, I. Quidu, and J.P Malkasse (2006). Automatic underwater image pre-preprocessing, SEA TECH WEEK Caractérisation du Milieu Marin, Brest, France.

[41] A. Goldsztejn and L. Jaulin (2006). Inner and outer approximations of existentially quantified equality constraints. CP06.

[42] 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.

[43] 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.

[44] 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.

[45] 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.

[46] L. Jaulin ,(2007)) Control of a wheeled stair-climbing robot using linear programming, ICRA'07, Download the Scilab simulation.

[47] 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.

[48] M. Lhommeau, L. Jaulin and L. Hardouin (2007). Inner and outer approximation of capture basins using interval analysis. ICINCO'07, Angers.

[49] 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.

[50] 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.

[51] 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.

[52] L. Jaulin and S. Bazeille (2009). Image Shape Extraction using Interval Methods, Sysid 2009, Builder5-C++ code

[53] 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.

[54] J. Sliwka, F. Le Bars and L. Jaulin (2009). Calcul ensembliste pour la localisation et la cartographie robustes, JD-JN-MACS, Angers.

[55] F. Le Bars, J. Sliwka and L. Jaulin (2009). SAUCISSE, an autonomous underwater vehicle, SAUCE'09, Portmouth.

[56] G. Chabert and L. Jaulin (2009). Hull Consistency Under Monotonicity, CP'2009.

[57] G. Chabert, L. Jaulin, and X. Lorca (2009). A Constraint on the Number of Distinct Vectors with Application to Localization, CP'2009.

[58] 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.

[59] 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.

[60] 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.

[61] 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, pages. 1637-1643.

[62] L. Jaulin (2010). Commande d'un skate-car par biomimétisme, CIFA 2010.

[63] L. Jaulin (2010). Solving set-valued constraint satisfaction problems. SCAN'10.

[64] F. Le bars, A. Bertholom, J. Sliwka and L. Jaulin (2010). Interval SLAM for underwater robots; a new experiment, NOLCOS 2010.

[65] J. Sliwka , K. Xiao and L. Jaulin (2011). A wind-independent control strategy for autonomous sailboats based on Voronoi diagram. CLAWAR'11, Paris (best paper award),

[66] 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.

[67] 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.

[68] 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.

[69] L. Jaulin (2012). Optimal control tuning of a redundant robot. Avril 2012. Roadef'12.

[70] 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.

[71] 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.

[72] 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.

[73] L. Jaulin (2012). Interval analysis and robotics SCAN'12, Novosibirsk, Russia.

[74] 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,

[75] L. Jaulin (2013). Parametric global optimization; application to sailboat robotics, Numerical computations: theory and algorithms, NUMTA'13.

[76] L. Jaulin and F. Le Bars (2013). Sailboat as a windmill, 6th International Robotic Sailing Conference, Brest, France.

[77] V. Drevelle, L. Jaulin and B. Zerr (2013). Guaranteed Characterization of the Explored Space of a Mobile Robot by using Subpavings, NOLCOS'13.

[78] 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.

[79] L. Jaulin, A. Stancu and B. Desrochers (2014). Inner and outer approximations of probabilistic sets. ICVRAM 2014.

[80] L. Jaulin and B. Desrochers (2014). Robust localisation using separators. COPROD'14.

[81] L Jaulin, J. Ninin, G. Chabert, S. Le Menec, M. Saad, V. Le Doze and A Stancu (2014). Computing capture tubes. SCAN'14.

[82] L. Jaulin and F. Le Bars (2014). Towing with sailboat robots, 7th International Robotic Sailing Conference, Ireland.

[83] 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.

[84] 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.

[85] S. Schmitt, F. Le Bars, L. Jaulin and T. Latzel. (2014) Obstacle Avoidance for an Autonomous Marine Robot - A Vector Field Approach. Quantitative Monitoring of the Underwater Environment, Proceedings of the International Marine Science and Technology Event, MOQESM'14 in Brest, France.

[86] 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.

[87] M. Mustafa, A. Stancu, E. Codres, S. Pacheco Gutierrez 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.

[88] 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.

[89] 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.

[90] B. Desrochers, S. Lacroix and L. Jaulin (2015). Set-Membership Approach to the Kidnapped Robot Problem, IROS'15. Hambourg.

[91] L. Jaulin (2015). Separator Algebra for State Estimation, SMART'15, Manchester.

[92] D. Monnet, L. Jaulin, J. Ninin (2015). Computing a guaranteed approximation of the viability kernel, SMART 2015, Manchester.

[93] T. Le Mézo, L. Jaulin and B. Zerr (2016). Inner approximation of a capture basin of a dynamical system, SWIM'16.

[94] G. Schvarcz Franco and L. Jaulin (2016). Avoiding Fake Boundaries in Interval Analysis, SWIM'16,

[95] 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,

[96] J. Nicola and L. Jaulin (2016). OMNE is a Maximum Likelihood Estimator, SWIM'16,

[97] B. Desrochers and L. Jaulin (2016). Relaxed intersection of thick sets. SCAN'16.

[98] T. Le Mézo, L. Jaulin and B. Zerr (2016). An Interval Approach to Solve an Initial Value Problem. NUMTA'16.

[99] L. Jaulin and B. Zerr (2016). Secure a zone with robots. SCAN 2016.

[100] L. Jaulin and B. Desrochers (2016). Thick separators. COPROD'16.

[101] L. Jaulin (2016). An introduction to robotics for hydrographers. MOQESM'16.

[102] L. Jaulin and B. Zerr (2016). Secure the Biscay bay from intruders with a group of underwater robots. MOQESM'16.

[103] 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.

[104] B. Desrochers and L. Jaulin (2017). Minkowski operations of sets with application to robot localization, SNR'2017, Uppsala.

[105] T. Le Mézo, L. Jaulin and B. Zerr (2017). Eulerian state estimation, SWIM'17,

[106] N. Rani Mahato, L. Jaulin and S. Chakraverty (2017). Localization for Group of Robots using Matrix Contractors, SWIM'17.

[107] B. Desrochers and L. Jaulin (2017). Chain of set inversion problems; Application to reachability analysis, IFAC'2017, Toulouse.


Book chapters

[1] 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.

[2] 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.

[3] 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.

[4] 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.

[5] 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.

[6] 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).

[7] 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.

[8] 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.

[9] 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.

[10] 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.

[11] 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.

[12] 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.

[13] 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.

[14] 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,

[15] L. Jaulin, D. Lopez, Le Doze, S. Le Menec, J. Ninin, G. Chabert, M.S. Ibnseddik 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.

[16] J. Nicola and L. Jaulin (2017), Comparison of Kalman and interval approaches for the simultaneous localization and mapping of an underwater vehicle, Springer volume special issue in Ocean Engineering & Oceanography .

[17] K. Vencatasamy, L. Jaulin and B. Zerr (2017), Secure the zone from intruders with a group robots, Springer volume special issue in Ocean Engineering & Oceanography .


To be submitted

G. Chabert and L. Jaulin, propagation de contraintes sur les intervalles pour la planification d'expérience en SLAM. Pdf.

N. Delanoue and L. Jaulin. Computing optimal validated solutions of initial value problems for Ordinary Differential Equations. To be submitted.