Symplectic Pseudospectral Methods for Optimal Control

Theory and Applications in Path Planning de

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Description


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. 
Pages
178 pages
Collection
Intelligent Systems, Control and Automation: Science and Engineering
Parution
2020-10-16
Marque
Springer
EAN papier
9789811534379
EAN PDF
9789811534386

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
17
Taille du fichier
8745 Ko
Prix
147,69 €
EAN EPUB
9789811534386

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
17
Taille du fichier
33239 Ko
Prix
147,69 €