Applied and Computational Optimal Control: A Control Parametrization Approach

Applied and Computational Optimal Control: A Control Parametrization Approach: 171 (Springer Optimization and Its Applications, 171)
26 May 2022
Author: Kok Lay Teo (Author), Bin Li (Author), Changjun Yu (Author), Volker Rehbock (Author)

Publisher ‏ : ‎ Springer; 1st ed. 2021 edition (26 May 2022)
Language ‏ : ‎ English
Paperback ‏ : ‎ 589 pages
ISBN-10 ‏ : ‎ 3030699153
ISBN-13 ‏ : ‎ 9783030699154

Book Description
The aim of this book is to furnish the reader with a rigorous and detailed exposition of the concept of control parametrization and time scaling transformation. It presents computational solution techniques for a special class of constrained optimal control problems as well as applications to some practical examples. The book may be considered an extension of the 1991 monograph A Unified Computational Approach Optimal Control Problems, Author: K.L. Teo, C.J. Goh, and K.H. Wong. This publication discusses the development of new theory and computational methods for solving various optimal control problems numerically and in a unified fashion. To keep the book accessible and uniform, it includes those results developed Author: the authors, their students, and their past and present collaborators. A brief review of methods that are not covered in this exposition, is also included.

Knowledge gained from this book may inspire advancement of new techniques to solve complex problems that arise in the future. This book is intended as reference for researchers in mathematics, engineering, and other sciences, graduate students and practitioners who apply optimal control methods in their work. It may be appropriate reading material for a graduate level seminar or as a text for a course in optimal control.

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