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Symplectic Pseudospectral Methods for Optimal Control: Theory and Applications in Path Planning (Intelligent Systems, Control and Automation: Science and Engineering #97) book cover by Xinwei Wang, Jie Liu, Haijun Peng
Paperback

Symplectic Pseudospectral Methods for Optimal Control: Theory and Applications in Path Planning (Intelligent Systems, Control and Automation: Science and Engineering #97)

by Xinwei Wang, Jie Liu and Haijun Peng

$149.59 / copy at 25+ copies As low as $146.19 at 100+Your best volume price

Total $3,739.75

Paperback · 178 pages Springer Nature Singapore · 2021

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About the book

Symplectic Pseudospectral Methods for Optimal Control

The book focuses on symplectic pseudospectral methods for nonlinear optimal control problems and their applications. Both the fundamental principles and engineering practice are addressed. Symplectic pseudospectral methods for nonlinear optimal control problems with complicated factors (i.e., inequality constraints, state-delay, unspecific terminal time, etc.) are solved under the framework of indirect methods. The methods developed here offer a high degree of computational efficiency and accuracy when compared with popular direct pseudospectral methods. The methods are applied to solve optimal control problems arising in various engineering fields, particularly in path planning problems for autonomous vehicles. Given its scope, the book will benefit researchers, engineers and graduate students in the fields of automatic control, path planning, ordinary differential equations, etc. 



The book, Symplectic Pseudospectral Methods for Optimal Control: Theory and Applications in Path Planning (Intelligent Systems, Control and Automation: Science and Engineering #97) [Bulk, Wholesale, Quantity] ISBN#9789811534409 in Paperback by Xinwei Wang, Jie Liu, Haijun Peng may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.

Details

Publisher
Springer Nature Singapore
Authors
Xinwei Wang, Jie Liu, Haijun Peng
Format
Paperback
Published
Oct 17, 2021
ISBN-13
9789811534409
Pages
178
Printing
Printed on demand
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