| Title | Neural-Network-Based High-Order Sliding Mode Control via High-Order Fully Actuated System Approach |
| Author | |
| DOI | |
| Publication Years | 2023
|
| ISBN | 979-8-3503-3217-9
|
| Source Title | |
| Pages | 188-192
|
| Conference Date | 14-16 July 2023
|
| Conference Place | Qingdao, China
|
| Keywords | |
| SUSTech Authorship | First
|
| URL | [Source Record] |
| Indexed By | |
| WOS Accession No | WOS:001071052200034
|
| Data Source | IEEE
|
| PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10243282 |
| Citation statistics |
Cited Times [WOS]:0
|
| Document Type | Conference paper |
| Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/559206 |
| Department | Southern University of Science and Technology |
| Affiliation | Shenzhen Key Laboratory of Control Theory and Intelligent Systems, Southern University of Science and Technology, Shenzhen, P. R. China |
| First Author Affilication | Southern University of Science and Technology |
| First Author's First Affilication | Southern University of Science and Technology |
| Recommended Citation GB/T 7714 |
Yuzhong Wang,Guangren Duan. Neural-Network-Based High-Order Sliding Mode Control via High-Order Fully Actuated System Approach[C],2023:188-192.
|
| Files in This Item: | There are no files associated with this item. | |||||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment