Olivier Pagès

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This paper deals with analysis and synthesis techniques for robust pole placement in Linear Matrix Inequality (LMI) regions. The class of systems considered here is the continuous TakagiSugeno (T-S) fuzzy models with parametric uncertainties. Sufficient stability conditions are established for this class of systems. These constraints make it possible to(More)
An Adaptive Sliding Mode Control (ASMC) for a class of nonlinear Multi Input Multi Output (MIMO) systems is presented in this paper. In order to reduce the chattering phenomenon without deteriorating the tracking performance, the discontinuous term of the classical sliding mode law is substituted with an adaptive Proportional Derivative (PD) term. The(More)
In this paper, an Adaptive Type-2 Fuzzy Sliding Mode Control is designed for a class of nonlinear Multi-Input Multi-Output (MIMO) systems with unknown partially dynamics and in presence of external disturbances. To estimate the unknown functions, a Sliding Mode Control (SMC) combined with Type-2 Fuzzy Logic are developed. The discontinuous term of the(More)
This paper presents two control design methods for the general class of Takagi-Sugeno (T-S) fuzzy models. The main goal is to stabilize the system as well as to force the output vector to track a desired trajectory. These two control methods belong to the multi-controller approach by considering the dynamic output feedback case. But in the first approach,(More)
This paper describes a vehicle dynamics fuzzy control design to improve stability and minimize the rollover risk of the vehicle in critical situations. To obtain a robust controller, several aspects that directly affect the behavior of the vehicle have been considered. Nonlinearities of the lateral forces have been considered by using a Takagi-Sugeno (TS)(More)
* 0-7803-7952-7/03/$17.00  2003 IEEE. Abstract This paper presents a control method design based on the multi-controller approach for a class of nonlinear systems in order to track a desired trajectory. The dynamic behavior of the nonlinear systems considered here is described by a convex interpolation of linear dynamic equations and it may approximate a(More)