Kok Lay Teo,Bin Li,Changjun Yu,Volker Rehbock
Applied and Computational Optimal Control: A Control Parametrization Approach
Applied and Computational Optimal Control: A Control Parametrization Approach
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This book provides a comprehensive exposition of control parametrization and time scaling transformation, presenting computational solution techniques for constrained optimal control problems and applications to practical examples. It is an extension of the 1991 monograph A Unified Computational Approach Optimal Control Problems and is intended as a reference for researchers, graduate students, and practitioners in mathematics, engineering, and other sciences.
Format: Hardback
Length: 574 pages
Publication date: 25 May 2021
Publisher: Springer Nature Switzerland AG
The aim of this comprehensive book is to provide the reader with a thorough and detailed exploration of the concept of control parametrization and time scaling transformation. It presents computational solution techniques for a special class of constrained optimal control problems, along with practical applications to real-world scenarios. This publication serves as an extension of the 1991 monograph A Unified Computational Approach Optimal Control Problems, authored by K.L. Teo, C.J. Goh, and K.H. Wong. This book discusses the development of new theory and computational methods for solving various optimal control problems numerically and in a unified fashion. To ensure accessibility and consistency, it incorporates results developed by the authors, their students, and their past and present collaborators. Additionally, a brief review of methods not covered in this exposition is included.
The knowledge gained from this book has the potential to inspire the advancement of new techniques to tackle complex problems that may arise in the future. This book is designed as a valuable reference for researchers in mathematics, engineering, and other sciences, as well as graduate students and practitioners who employ optimal control methods in their work. It can also serve as appropriate reading material for a graduate-level seminar or as a text for a course in optimal control.
Weight: 1045g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030699123
Edition number: 1st ed. 2021
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