Abstract : In this thesis, the automotive global chassis control problem is treated. The objective is to develop methodologies to control the different vehicle actuators (suspension, braking and steering systems) to enhance comfort and safety, and, to control the ground vehicle dynamics. Since it implies many different and nonlinear phenomena and constrained actuators, this problem turns to be very complex to solve. The tools and methods used are inspired from the recent developments in automatic control, and especially from the one from the robust control community applied to Linear Parameter Varying (LPV) systems. In this framework, we focus on the modeling, the analysis and the control of automotive systems as well as robust control for LPV systems, using the Linear Matrix Inequality (LMI) tools. The main results concern the development of a new semi-active suspension controller and an adaptive global chassis control using the robust LPV approach.