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Symplectic pseudospectral methods fo...

Wang, Xinwei.

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Symplectic pseudospectral methods for optimal control = theory and applications in path planning /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Symplectic pseudospectral methods for optimal control/ by Xinwei Wang, Jie Liu, Haijun Peng.
其他題名:	theory and applications in path planning /
作者:	Wang, Xinwei.
其他作者:	Liu, Jie.
出版者:	Singapore :Springer Singapore : : 2021.,
面頁冊數:	xi, 178 p. :ill., digital ;24 cm.
內容註:	Background -- Numerical methods for computational optimal control -- Mathematical foundations -- SPM for general nonlinear unconstrained optimal control problems -- SPM for nonlinear optimal control problems with inequality constraints -- SPM for nonlinear state-delayed optimal control problems -- From open-loop to closed-loop: Model predictive control -- Optimal maneuver of spacecraft -- Optimal path planning of UGS -- Overhead crane -- Carrier aircraft (traction system) -- Optimal vaccination strategy for a seasonally varying epidemic model.
Contained By:	Springer Nature eBook
標題:	Nonlinear control theory. -
電子資源:	https://doi.org/10.1007/978-981-15-3438-6
ISBN:	9789811534386

Symplectic pseudospectral methods for optimal control = theory and applications in path planning /
Wang, Xinwei.

Symplectic pseudospectral methods for optimal controltheory and applications in path planning /[electronic resource] :by Xinwei Wang, Jie Liu, Haijun Peng. - Singapore :Springer Singapore :2021. - xi, 178 p. :ill., digital ;24 cm. - Intelligent systems, control and automation: science and engineering,v.972213-8986 ;. - Intelligent systems, control and automation: science and engineering ;v.97..

Background -- Numerical methods for computational optimal control -- Mathematical foundations -- SPM for general nonlinear unconstrained optimal control problems -- SPM for nonlinear optimal control problems with inequality constraints -- SPM for nonlinear state-delayed optimal control problems -- From open-loop to closed-loop: Model predictive control -- Optimal maneuver of spacecraft -- Optimal path planning of UGS -- Overhead crane -- Carrier aircraft (traction system) -- Optimal vaccination strategy for a seasonally varying epidemic model.

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.

ISBN: 9789811534386

Standard No.: 10.1007/978-981-15-3438-6doiSubjects--Topical Terms:

531861
Nonlinear control theory.

LC Class. No.: QA402.35 / .W35 2021

Dewey Class. No.: 629.836

Symplectic pseudospectral methods for optimal control = theory and applications in path planning /
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520 $a 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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