发表状态 | 已发表Published |
题名 | Finite-time tracking control for nonlinear systems via adaptive neural output feedback and command filtered backstepping |
作者 | |
发表日期 | 2021 |
发表期刊 | IEEE Transactions on Neural Networks and Learning Systems
![]() |
ISSN/eISSN | 2162-237X |
卷号 | 32期号:4页码:1474-1485 |
摘要 | This article is concerned with the tracking control problem for uncertain high-order nonlinear systems in the presence of input saturation. A finite-time control strategy combined with neural state observer and command filtered backstepping is proposed. The neural network models the unknown nonlinear dynamics, the finite-time command filter (FTCF) guarantees the approximation of its output to the derivative of virtual control signal in finite time at the backstepping procedure, and the fraction power-based error compensation system compensates for the filtering errors between FTCF and virtual signal. In addition, the input saturation problem is dealt with by introducing the auxiliary system. Overall, it is shown that the designed controller drives the output tracking error to the desired neighborhood of the origin at a finite time and all the signals in the closed-loop system are bounded at a finite time. Two simulation examples are given to demonstrate the control effectiveness. © 2012 IEEE. |
关键词 | Adaptive neural control backstepping finite-time control input saturation nonlinear systems |
DOI | 10.1109/TNNLS.2020.2984773 |
URL | 查看来源 |
收录类别 | SCIE |
语种 | 英语English |
WOS研究方向 | Computer Science ; Engineering |
WOS类目 | Computer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic |
WOS记录号 | WOS:000637534200006 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://repository.uic.edu.cn/handle/39GCC9TT/3550 |
专题 | 个人在本单位外知识产出 |
作者单位 | 1.School of Automation, Qingdao University, Qingdao, 266071, China 2.Faculty of Engineering and the Built Environment, University of Johannesburg, Johannesburg, 2092, South Africa |
推荐引用方式 GB/T 7714 | Zhao, Lin,Yu, Jinpeng,Wang, Qingguo. Finite-time tracking control for nonlinear systems via adaptive neural output feedback and command filtered backstepping[J]. IEEE Transactions on Neural Networks and Learning Systems, 2021, 32(4): 1474-1485. |
APA | Zhao, Lin, Yu, Jinpeng, & Wang, Qingguo. (2021). Finite-time tracking control for nonlinear systems via adaptive neural output feedback and command filtered backstepping. IEEE Transactions on Neural Networks and Learning Systems, 32(4), 1474-1485. |
MLA | Zhao, Lin,et al."Finite-time tracking control for nonlinear systems via adaptive neural output feedback and command filtered backstepping". IEEE Transactions on Neural Networks and Learning Systems 32.4(2021): 1474-1485. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论