Symplectic Pseudospectral Methods for Optimal Control is popular PDF and ePub book, written by Xinwei Wang in 2020-10-16, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Symplectic Pseudospectral Methods for Optimal Control can be Read Online from any device for your convenience.
Symplectic Pseudospectral Methods for Optimal Control Book PDF 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.
Detail Book of Symplectic Pseudospectral Methods for Optimal Control PDF
- Author : Xinwei Wang
- Release : 16 October 2020
- Publisher : Springer Nature
- ISBN : 9789811534386
- Genre : Technology & Engineering
- Total Page : 178 pages
- Language : English
- PDF File Size : 17,6 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Symplectic Pseudospectral Methods for Optimal Control by Xinwei Wang, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.