| 书目名称 | Symplectic Pseudospectral Methods for Optimal Control |
| 副标题 | Theory and Applicati |
| 编辑 | Xinwei Wang,Jie Liu,Haijun Peng |
| 视频video | |
| 概述 | Addresses optimal control both in theory and application, particularly in path planning problems.Provides a range of highly efficient symplectic pseudospectral methods for optimal control with various |
| 丛书名称 | Intelligent Systems, Control and Automation: Science and Engineering |
| 图书封面 |  |
| 描述 | .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. . |
| 出版日期 | Book 2021 |
| 关键词 | Nonlinear Optimal Control Problem; Symplectic Pseudospectral Method; Computational Optimal Control; Sym |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-15-3438-6 |
| isbn_softcover | 978-981-15-3440-9 |
| isbn_ebook | 978-981-15-3438-6Series ISSN 2213-8986 Series E-ISSN 2213-8994 |
| issn_series | 2213-8986 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
发表于 2025-3-21 18:07:36
