J. Shamma, Control of Linear Parameter Varying Systems with Applications, ch. An overview of LPV systems, pp.1-22, 2012.

A. Marcos and J. Balas, Development of linear-parameter-varying models for aircraft, J. Guidance, Control, Dynamics, vol.27, issue.2, pp.218-228, 2004.

J. Shamma and J. Cloutier, Gain-scheduled missile autopilot design using linear parameter-varying transformations, J. Guidance, Control, Dynamics, vol.16, issue.2, pp.256-261, 1993.

W. Tan, Applications of Linear Parameter-Varying Control Theory, 1997.

D. Efimov and T. Raïssi, Design of interval observers for uncertain dynamical systems, Automation and Remote Control, vol.77, issue.2, pp.191-225, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01276439

T. Raïssi and D. Efimov, Some recent results on the design and implementation of interval observers for uncertain systems, Automatisierungstechnik, vol.66, issue.3, pp.213-224, 2018.

S. Chebotarev, D. Efimov, T. Raïssi, and A. Zolghadri, Interval observers for continuous-time LPV systems with l 1 /l 2 performance, Automatica, vol.58, issue.8, pp.82-89, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01149982

L. Jaulin, Nonlinear bounded-error state estimation of continuous time systems, Automatica, vol.38, issue.2, pp.1079-1082, 2002.
URL : https://hal.archives-ouvertes.fr/hal-00845483

M. Kieffer and E. Walter, Guaranteed nonlinear state estimator for cooperative systems, Numerical Algorithms, vol.37, pp.187-198, 2004.

B. Olivier and J. Gouzé, Closed loop observers bundle for uncertain biotechnological models, Journal of Process Control, vol.14, issue.7, pp.765-774, 2004.

M. Moisan, O. Bernard, and J. Gouzé, Near optimal interval observers bundle for uncertain bio-reactors, Automatica, vol.45, issue.1, pp.291-295, 2009.

T. Raïssi, G. Videau, and A. Zolghadri, Interval observers design for consistency checks of nonlinear continuous-time systems, Automatica, vol.46, issue.3, pp.518-527, 2010.

T. Raïssi, D. Efimov, and A. Zolghadri, Interval state estimation for a class of nonlinear systems, IEEE Trans. Automatic Control, vol.57, issue.1, pp.260-265, 2012.

D. Efimov, L. Fridman, T. Raïssi, A. Zolghadri, and R. Seydou, Interval estimation for LPV systems applying high order sliding mode techniques, Automatica, vol.48, pp.2365-2371, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00701643

F. Mazenc and O. Bernard, Interval observers for linear time-invariant systems with disturbances, Automatica, vol.47, issue.1, pp.140-147, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00555464

C. Combastel, Stable interval observers in C for linear systems with time-varying input bounds, IEEE Transactions on, issue.99, pp.1-6, 2013.
URL : https://hal.archives-ouvertes.fr/hal-01650905

D. Efimov, T. Raïssi, S. Chebotarev, and A. Zolghadri, Interval state observer for nonlinear time varying systems, Automatica, vol.49, issue.1, pp.200-205, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00719911

E. Leurent, Y. Blanco, D. Efimov, and O. Maillard, Approximate robust control of uncertain dynamical systems, 32nd Conference on Neural Information Processing Systems (NeurIPS) MLITS Workshop, (Montreal), 2018.
URL : https://hal.archives-ouvertes.fr/hal-01931744

D. Efimov, L. Fridman, T. Raïssi, A. Zolghadri, and R. Seydou, Interval estimation for LPV systems applying high order sliding mode techniques, Automatica, vol.48, pp.2365-2371, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00701643

L. Farina and S. Rinaldi, Positive Linear Systems: Theory and Applications, 2000.

H. Smith, Monotone Dynamical Systems: An Introduction to the Theory of Competitive and Cooperative Systems, vol.41, 1995.

M. Rami, C. Cheng, and C. De-prada, Tight robust interval observers: an LP approach, Proc. of 47th IEEE Conference on Decision and Control, pp.2967-2972, 2008.

M. Bolajraf, M. Rami, and U. R. Helmke, Robust positive interval observers for uncertain positive systems, Proc. of the 18th IFAC World Congress, pp.14330-14334, 2011.

D. Efimov, T. Raïssi, and A. Zolghadri, Control of nonlinear and LPV systems: interval observer-based framework, IEEE Trans. Automatic Control, vol.58, issue.3, pp.773-782, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00664106

D. Efimov and A. Aleksandrov, Robust stability analysis and implementation of persidskii systems, Proc. IEEE Conference on Decision and Control (CDC), (Nice), 2019.

H. K. Khalil and N. Systems, , 2002.

E. Leurent, An environment for autonomous driving decisionmaking, 2018.

P. Polack, F. Altché, and B. D'andréa-novel, The Kinematic Bicycle Model : a Consistent Model for Planning Feasible Trajectories for Autonomous Vehicles ?, IEEEIntelligent Vehicles Symposium, issue.Iv, pp.6-8, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01520869

M. Treiber, A. Hennecke, and D. Helbing, Congested Traffic States in Empirical Observations and Microscopic Simulations, Phys. Rev. E, vol.62, 2000.

O. Adrot and J. Flaus, Trajectory computation of dynamic uncertain systems, 42nd IEEE International Conference on Decision and Control, vol.2, pp.1291-1296, 2003.