Applied and Computational Optimal Control: A Control Parametrization Approach/ Kok Lay Teo, Bin Li, Changjun Yu, Volker Rehbock
Series: Springer optimization and its applicationCham: Springer, 2021Description: xv, 574 pages : illustrations ; 24 cmContent type:- text
- unmediated
- volume
- 9783030699123
- QA323 .T46 2021
Item type | Current library | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|
Books - Printed | PERPUSTAKAAN GUNASAMA HAB PENDIDIKAN TINGGI PAGOH Main Library General | QA323 .T46 2021 (Browse shelf(Opens below)) | Available | 1000355451 | ||
Books - Printed | PERPUSTAKAAN GUNASAMA HAB PENDIDIKAN TINGGI PAGOH Main Library General | QA323 .T46 2021 (Browse shelf(Opens below)) | Available | 1000355452 |
Includes bibliographical references.
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
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