Numerical Methods for Optimal Control Problems with State Constraints

Radoslaw Pytlak

ISBN 10: 3540662146 / ISBN 13: 9783540662143

Published by Springer Berlin Heidelberg, 1999

About this Item

Druck auf Anfrage Neuware - Printed after ordering - While optimality conditions for optimal control problems with state constraints have been extensively investigated in the literature the results pertaining to numerical methods are relatively scarce. This book fills the gap by providing a family of new methods. Among others, a novel convergence analysis of optimal control algorithms is introduced. The analysis refers to the topology of relaxed controls only to a limited degree and makes little use of Lagrange multipliers corresponding to state constraints. This approach enables the author to provide global convergence analysis of first order and superlinearly convergent second order methods. Further, the implementation aspects of the methods developed in the book are presented and discussed. The results concerning ordinary differential equations are then extended to control problems described by differential-algebraic equations in a comprehensive way for the first time in the literature.

Seller Inventory # 9783540662143

Bibliographic Details

• Title: Numerical Methods for Optimal Control Problems with State Constraints
• Publisher: Springer Berlin Heidelberg
• Publication Date: 1999
• Language: English
• ISBN 10: 3540662146
• ISBN 13: 9783540662143
• Binding: Taschenbuch
• Condition: Neu

About this title

Synopsis

While optimality conditions for optimal control problems with state constraints have been extensively investigated in the literature the results pertaining to numerical methods are relatively scarce. This book fills the gap by providing a family of new methods. Among others, a novel convergence analysis of optimal control algorithms is introduced. The analysis refers to the topology of relaxed controls only to a limited degree and makes little use of Lagrange multipliers corresponding to state constraints. This approach enables the author to provide global convergence analysis of first order and superlinearly convergent second order methods. Further, the implementation aspects of the methods developed in the book are presented and discussed. The results concerning ordinary differential equations are then extended to control problems described by differential-algebraic equations in a comprehensive way for the first time in the literature.