M E G H Í V Ó

Olivier Sename - Péter Gáspár - József Bokor
Robust Control and Linear Parameter Varying Approaches

Application to Vehicle Dynamics

Vehicles are complex systems (non-linear, multi-variable) where the abundance of embedded controllers should ensure better security. This book aims at emphasizing the interest and potential of Linear Parameter Varying methods within the framework of vehicle dynamics, e.g. proposed control-oriented model, complex enough to handle some system non linearities but still simple for control or observer design, take into account the adaptability of the vehicle's response to driving situations, to the driver request and/or to the road sollicitations, manage interactions between various actuators to optimize the dynamic behavior of vehicles. This book results from the 32th International Summer School in Automatic that held in Grenoble, France, in September 2011, where recent methods (based on robust control and LPV technics), then applied to the control of vehicle dynamics, have been presented. After some theoretical background and a view on some recent works on LPV approaches (for modelling, analysis, control, observation and diagnosis), the main emphasis is put on road vehicles but some illustrations are concerned with railway, aerospace and underwater vehicles. The main objective of the book is to demonstrate the value of this approach for controlling the dynamic behavior of vehicles.

József Bokor - Péter Gáspár - Zoltán Szabó
Robust control the ory with automotive applications

This book is intended to be used as a textbook in our PhD course. We have tried to balance the broadness and the depth of the material covered in the book. The need to use modern linear control arises when working with models which are complex, multiple input multiple output, or when optimization of performance is a concern. Any model of a real system presents inaccuracies. This is the reason why robustness with respect to system variations is one of the most important aspects in the analysis and control of dynamical systems. A system which has to guarantee certain properties, is said robust if satisfies the requirements not only for its nominal values but also in the presence of perturbations. In this course we study modern methods for designing controllers with specified optimality and robustness properties. We will cover H2-optimal and robust Hinf-optimal control, including the mu-synthesis procedure for structured uncertainties. In this course, the problem of applying optimal and robust control theory to controller design in automotive applications is also discussed.