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Adaptive Neural Control of a Class of Stochastic Nonlinear Uncertain Systems With Guaranteed Transient Performance
文献类型：期刊论文
| 作者 | Wang, Jianhui2,3; Liu, Zhi2; Zhang, Yun2; Chen, C. L. Philip1,4,5; Lai, Guanyu2 |
| 刊名 | IEEE TRANSACTIONS ON CYBERNETICS
 |
| 出版日期 | 2020-07-01 |
| 卷号 | 50期号:7页码:2971-2981 |
| 关键词 | Neural networks Adaptive systems Nonlinear systems Backstepping Transient analysis Approximation error Time-varying systems Adaptive control neutral network nonlinear control stochastic disturbance transient performance |
| ISSN号 | 2168-2267 |
| DOI | 10.1109/TCYB.2019.2891265 |
| 通讯作者 | Liu, Zhi(lz@gdut.edu.cn) |
| 英文摘要 | In this paper, an adaptive neural network control for stochastic nonlinear systems with uncertain disturbances is proposed. The neural network is considered to approximate an uncertain function in a nonlinear system. And computational burden in operation is reduced by handling the norm of the neural-network vector. However, it will arise chattering issue, which is a challenge to avoid it from the symbolic operation. Further, traditional schemes often view error of estimate as bounded constant, but it is a time-varying function exactly, which may lead control schemes cannot conform to practical situation and guarantee stability of systems. Thus, backstepping technology and the neural network technology combined to stabilize stochastic nonlinear systems together to handle the aforementioned issues. It is proved that the proposed control scheme can guarantee the satisfactory asymptotic convergence performance and predetermined transient tracking error performance. From simulation results, the proposed control scheme is verified that can guarantee the satisfactory effectiveness. |
| WOS关键词 | OUTPUT-FEEDBACK CONTROL ; DYNAMIC SURFACE CONTROL ; ACTUATOR FAILURE COMPENSATION ; DISCRETE-TIME-SYSTEMS ; TRACKING CONTROL ; STABILIZATION |
| 资助项目 | National Natural Science Foundation of China[61573108] ; Natural Science Foundation of Guangdong Province[2016A030313715] ; Guangdong Province Universities and Colleges Pearl River Scholar Funded Scheme |
| WOS研究方向 | Automation & Control Systems ; Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000544035300008 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Natural Science Foundation of China ; Natural Science Foundation of Guangdong Province ; Guangdong Province Universities and Colleges Pearl River Scholar Funded Scheme |
| 源URL | [http://ir.ia.ac.cn/handle/173211/40038]  |
| 专题 | 离退休人员 |
| 通讯作者 | Liu, Zhi |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 2.Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Peoples R China 3.Guangzhou Univ, Sch Mech & Elect Engn, Guangzhou 510006, Peoples R China 4.Univ Macau, Fac Sci & Technol, Macau 999078, Peoples R China 5.Dalian Maritime Univ, Nav Coll, Dalian 116026, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Jianhui,Liu, Zhi,Zhang, Yun,et al. Adaptive Neural Control of a Class of Stochastic Nonlinear Uncertain Systems With Guaranteed Transient Performance[J]. IEEE TRANSACTIONS ON CYBERNETICS,2020,50(7):2971-2981. |
| APA | Wang, Jianhui,Liu, Zhi,Zhang, Yun,Chen, C. L. Philip,&Lai, Guanyu.(2020).Adaptive Neural Control of a Class of Stochastic Nonlinear Uncertain Systems With Guaranteed Transient Performance.IEEE TRANSACTIONS ON CYBERNETICS,50(7),2971-2981. |
| MLA | Wang, Jianhui,et al."Adaptive Neural Control of a Class of Stochastic Nonlinear Uncertain Systems With Guaranteed Transient Performance".IEEE TRANSACTIONS ON CYBERNETICS 50.7(2020):2971-2981. |
入库方式： OAI收割
来源：自动化研究所
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