Description |
1 online resource (xi, 178 pages) |
Series |
Intelligent systems, control and automation: science and engineering ; v. 97 |
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International series on intelligent systems, control and automation--science and engineering ; v. 97.
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Contents |
Overview of this book -- Computational techniques for nonlinear optimal control -- Mathematical foundation -- SPM for unconstrained nonlinear optimal control problems -- SPM for nonlinear optimal control problems with inequality constraints -- SPM for time-delayed nonlinear optimal control problems -- Model predictive control: from open-loop to closed-loop -- Optimal maneuver for spacecraft -- Optimal path planning of UGS -- Motion planning and control for overhead cranes -- Path planning for tractor-trailer system |
Summary |
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 |
Bibliography |
Includes bibliographical references |
Notes |
Print version record |
Subject |
Nonlinear control theory.
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Symplectic geometry.
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Nonlinear control theory
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Symplectic geometry
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Form |
Electronic book
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Author |
Liu, Jie
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Peng, Haijun
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ISBN |
9789811534386 |
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9811534381 |
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