Removing Feasibility Conditions on Adaptive Neural Tracking Control of Nonlinear Time-Delay Systems With Time-Varying Powers, Input, and Full-State Constraints | |
Guo, Chao2,3; Xie, Xue-Jun2; Hou, Zeng-Guang1 | |
刊名 | IEEE TRANSACTIONS ON CYBERNETICS |
2022-04-01 | |
卷号 | 52期号:4页码:2553-2564 |
关键词 | Nonlinear systems Time-varying systems Control design Adaptive systems Delay effects Artificial neural networks Automation Feasibility conditions input and full-state constraints neural networks (NNs) nonlinear systems time-varying powers |
ISSN号 | 2168-2267 |
DOI | 10.1109/TCYB.2020.3003327 |
通讯作者 | Xie, Xue-Jun(xuejunxie@126.com) |
英文摘要 | This article investigates the tracking control for input and full-state-constrained nonlinear time-delay systems with unknown time-varying powers, whose nonlinearities do not impose any growth assumption. By utilizing the auxiliary control signal and nonlinear state-dependent transformation (NSDT) to counteract the effect of input saturation and cope with full-state constraints, respectively, and then introducing lower and higher powers and Lyapunov-Krasovskii (L-K) functionals in control design together with the adaptive neural-networks (NNs) method, an adaptive neural tracking control design is provided without feasibility conditions. It is proved that NNs approximation is valid, all the closed-loop signals are semiglobally bounded, and input and full-state constraints are not violated. |
资助项目 | National Key Research and Development Program of China[2018YFC2001700] ; Taishan Scholar Project of Shandong Province of China[ts201712040] ; National Natural Science Foundation of China[61673242] |
WOS关键词 | OUTPUT-FEEDBACK STABILIZATION ; BARRIER LYAPUNOV FUNCTIONS ; GLOBAL STABILIZATION ; NETWORK CONTROL |
WOS研究方向 | Automation & Control Systems ; Computer Science |
语种 | 英语 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
WOS记录号 | WOS:000778931500051 |
资助机构 | National Key Research and Development Program of China ; Taishan Scholar Project of Shandong Province of China ; National Natural Science Foundation of China |
内容类型 | 期刊论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/48246] |
专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队 |
通讯作者 | Xie, Xue-Jun |
作者单位 | 1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Qufu Normal Univ, Inst Automat, Qufu 273165, Shandong, Peoples R China 3.Dezhou Univ, Sch Math & Big Data, Dezhou 253023, Peoples R China |
推荐引用方式 GB/T 7714 | Guo, Chao,Xie, Xue-Jun,Hou, Zeng-Guang. Removing Feasibility Conditions on Adaptive Neural Tracking Control of Nonlinear Time-Delay Systems With Time-Varying Powers, Input, and Full-State Constraints[J]. IEEE TRANSACTIONS ON CYBERNETICS,2022,52(4):2553-2564. |
APA | Guo, Chao,Xie, Xue-Jun,&Hou, Zeng-Guang.(2022).Removing Feasibility Conditions on Adaptive Neural Tracking Control of Nonlinear Time-Delay Systems With Time-Varying Powers, Input, and Full-State Constraints.IEEE TRANSACTIONS ON CYBERNETICS,52(4),2553-2564. |
MLA | Guo, Chao,et al."Removing Feasibility Conditions on Adaptive Neural Tracking Control of Nonlinear Time-Delay Systems With Time-Varying Powers, Input, and Full-State Constraints".IEEE TRANSACTIONS ON CYBERNETICS 52.4(2022):2553-2564. |
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