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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.
(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.
From the book reviews:
"The book provides a careful and detailed treatment of the selected topics. The peculiarity of the book is that it presents different approaches for the solution of (almost) the same problems applying different methodologies. ... The book should be of interest to mathematicians, engineers, and scientists who are, or intend to become, active researchers in robust stabilization of nonlinear systems." (Éva Gyurkovics, Mathematical Reviews, May, 2014)
"The book provides a careful and detailed treatment of the selected topics. The peculiarity of the book is that it presents different approaches for the solution of (almost) the same problems applying different methodologies. ... The book should be of interest to mathematicians, engineers, and scientists who are, or intend to become, active researchers in robust stabilization of nonlinear systems." (Éva Gyurkovics, Mathematical Reviews, May, 2014)