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Applied and Computational Optimal Control - A Control Parametrization Approach (Paperback, 1st ed. 2021) Loot Price: R3,306
Discovery Miles 33 060
Applied and Computational Optimal Control - A Control Parametrization Approach (Paperback, 1st ed. 2021): Kok Lay Teo, Bin Li,...

Applied and Computational Optimal Control - A Control Parametrization Approach (Paperback, 1st ed. 2021)

Kok Lay Teo, Bin Li, Changjun Yu, Volker Rehbock

Series: Springer Optimization and Its Applications, 171

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Loot Price R3,306 Discovery Miles 33 060 | Repayment Terms: R310 pm x 12*

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Springer Optimization and Its Applications, 171
Release date: May 2022
First published: 2021
Authors: Kok Lay Teo • Bin Li • Changjun Yu • Volker Rehbock
Dimensions: 235 x 155mm (L x W)
Format: Paperback
Pages: 574
Edition: 1st ed. 2021
ISBN-13: 978-3-03-069915-4
Categories: Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory
Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Vector & tensor analysis
Books > Science & Mathematics > Mathematics > Optimization > General
LSN: 3-03-069915-3
Barcode: 9783030699154

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