Constrained Optimal Control of Linear and Hybrid Systems

Francesco Borrelli

ISBN 10: 354000257X / ISBN 13: 9783540002574

Verlag: Springer Berlin Heidelberg, 2003

Beschreibung

Druck auf Anfrage Neuware - Printed after ordering - Many practical control problems are dominated by characteristicssuch asstate, input and operational constraints, alternations between different operating regimes, and the interaction of continuous-time and discrete event systems. At present no methodology is available to design controllersin a systematic manner for such systems. This book introduces a new design theory for controllers for such constrained and switching dynamical systems and leads to algorithms that systematically solve control synthesis problems. The first partis a self-contained introduction to multiparametric programming, which is the main technique used to study and compute state feedback optimal control laws. The book's main objective is to derive properties of the state feedback solution, as well as to obtain algorithms to compute it efficiently. The focus is on constrained linear systems and constrained linear hybrid systems. The applicability of the theory is demonstrated through two experimental case studies: a mechanical laboratory process and a traction control system developed jointly with theFord Motor Company in Michigan.

Bestandsnummer des Verkäufers 9783540002574

Bibliografische Details

• Titel: Constrained Optimal Control of Linear and Hybrid Systems
• Verlag: Springer Berlin Heidelberg
• Veröffentlichungsdatum: 2003
• Sprache: Englisch
• ISBN-10: 354000257X
• ISBN-13: 9783540002574
• Bindung: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

Many practical control problems are dominated by characteristics such as state, input and operational constraints, alternations between different operating regimes, and the interaction of continuous-time and discrete event systems. At present no methodology is available to design controllers in a systematic manner for such systems. This book introduces a new design theory for controllers for such constrained and switching dynamical systems and leads to algorithms that systematically solve control synthesis problems. The first part is a self-contained introduction to multiparametric programming, which is the main technique used to study and compute state feedback optimal control laws. The book's main objective is to derive properties of the state feedback solution, as well as to obtain algorithms to compute it efficiently. The focus is on constrained linear systems and constrained linear hybrid systems. The applicability of the theory is demonstrated through two experimental case studies: a mechanical laboratory process and a traction control system developed jointly with the Ford Motor Company in Michigan.