Springer Optimization and Its Applications
cover

Applied and Computational Optimal Control

A Control Parametrization Approach

Authors: Teo, K.L., Li, B., Yu, C., Rehbock, V.

  • 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
see more benefits

Buy this book

eBook 117,69 €
price for Spain (gross)
  • The eBook version of this title will be available soon
  • Due: June 5, 2021
  • ISBN 978-3-030-69913-0
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover 155,99 €
price for Spain (gross)
  • Due: June 5, 2021
  • ISBN 978-3-030-69912-3
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • The final prices may differ from the prices shown due to specifics of VAT rules
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 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.

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.

Buy this book

eBook 117,69 €
price for Spain (gross)
  • The eBook version of this title will be available soon
  • Due: June 5, 2021
  • ISBN 978-3-030-69913-0
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover 155,99 €
price for Spain (gross)
  • Due: June 5, 2021
  • ISBN 978-3-030-69912-3
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • The final prices may differ from the prices shown due to specifics of VAT rules
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Applied and Computational Optimal Control
Book Subtitle
A Control Parametrization Approach
Authors
Series Title
Springer Optimization and Its Applications
Series Volume
171
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
eBook ISBN
978-3-030-69913-0
DOI
10.1007/978-3-030-69913-0
Hardcover ISBN
978-3-030-69912-3
Series ISSN
1931-6828
Edition Number
1
Number of Pages
XI, 575
Number of Illustrations
20 b/w illustrations, 43 illustrations in colour
Topics