Overview
- Real world practical problems are introduced as illustrative examples
- Provides state-of-the-art fundamental results on a unified family of computational methods
- Methods may be implemented easily using the MISER software
- New theory and computational methods may be derived from knowledge gained in this book
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 171)
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Table of contents (12 chapters)
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Front Matter
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Back Matter
Keywords
About this book
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, by 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 by 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 problemsthat 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.Authors and Affiliations
About the authors
Kok Lay Teo holds an emeritus position as John Curtin Distinguished Emeritus Professor, Curtin University, Australia; and Professor and Associate Dean (Research & International) in the School of Mathematical Sciences, Sunway University, Malaysia.
Bin Li is a Professor in the School of Aeronautics and Astronautics, Sichuan University, China.
Changjun Yu is an Associate Professor and the Vice Dean in the College of Sciences, Shanghai University, China.
Volker Rehbock is an Adjunct Associate Professor in the School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, Australia.
Bibliographic Information
Book Title: Applied and Computational Optimal Control
Book Subtitle: A Control Parametrization Approach
Authors: Kok Lay Teo, Bin Li, Changjun Yu, Volker Rehbock
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-3-030-69913-0
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-69912-3Published: 25 May 2021
Softcover ISBN: 978-3-030-69915-4Published: 26 May 2022
eBook ISBN: 978-3-030-69913-0Published: 24 May 2021
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 1
Number of Pages: XV, 574
Number of Illustrations: 20 b/w illustrations, 43 illustrations in colour
Topics: Optimization, Systems Theory, Control, Analysis