Symplectic Pseudospectral Methods for Optimal Control Theory and Applications in Path Planning
Language: English
Published by Springer, 2020
Series: Book 53 of 56 - Intelligent Systems, Control and Automation: Science and Engineering
- Hardcover
- New
Condition: New
£ 172.36
Quantity: 2 available
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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. Sprache: Englisch Gewicht in Gramm: 407.
Seller Inventory # IB-1049602
- Title
- Symplectic Pseudospectral Methods for Optimal Control Theory and Applications in Path Planning
- Author
- Xinwei Wang, Haijun Peng, Jie Liu
- Publisher
- Springer
- Publication year
- 2020
- Condition
- Neu
- Binding
- Gebundene Ausgabe
- Language
- English
- ISBN 10
- 9811534373
- ISBN 13
- 9789811534379
- Item weight
- 407 grams
- Series
- Book 53 of 56: Intelligent Systems, Control and Automation: Science and Engineering
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.
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