Disturbance Attenuation for Uncertain Control Systems

This book presents a variety of approaches to the design problem in the presence of a (partly) unknown disturbance signal. A clear philosophy underlies each approach, among them Adaptive Control, Worst Case Design and Dissipation Inequalities.

This book presents a survey on recent attempts to treat classical regulator design problems in case of an uncertain dynamics. It is shown that source of the uncertainty can be twofold:

(i) The system is under the influence of an exogenous disturbance about which one has only incomplete - or none - information.

(ii) A portion of the dynamical law is unspecified - due to imperfect modeling.

Both cases are described by the state space model in a unified way

Disturbance Attenuation for Uncertain Control Systems presents a variety of approaches to the design problem in the presence of a (partly) unknown disturbance signal. There is a clear philosophy underlying each approach which can be characterized by either one of the following terms: Adaptive Control, Worst Case Design, Dissipation Inequalities.

Presents research on Disturbance Attenuation for Uncertain Control Systems Focuses on a mathematical approach on Uncertainties in Control Systems Written by experts in the field

Inhalt
Dissipation Inequalities and Nonlinear H1-Theory.- Dissipation Inequalities: An Alternative Approach.- A United Approach to Problems of Asymptotic Tracking and Disturbance Rejection.- Disturbance Attenuation in Control Systems.