| Removing Feasibility Conditions on Adaptive Neural Tracking Control of Nonlinear Time-Delay Systems With Time-Varying Powers, Input, and Full-State Constraints | |
Guo, Chao1,2; Xie, Xue-Jun2; Hou, Zeng-Guang3
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| Source Publication | IEEE TRANSACTIONS ON CYBERNETICS
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| ISSN | 2168-2267 |
| 2022-04-01 | |
| Volume | 52Issue:4Pages:2553-2564 |
| Corresponding Author | Xie, Xue-Jun(xuejunxie@126.com) |
| Abstract | 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. |
| Keyword | 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 |
| DOI | 10.1109/TCYB.2020.3003327 |
| WOS Keyword | OUTPUT-FEEDBACK STABILIZATION ; BARRIER LYAPUNOV FUNCTIONS ; GLOBAL STABILIZATION ; NETWORK CONTROL |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | 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] |
| Funding Organization | National Key Research and Development Program of China ; Taishan Scholar Project of Shandong Province of China ; National Natural Science Foundation of China |
| WOS Research Area | Automation & Control Systems ; Computer Science |
| WOS Subject | Automation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics |
| WOS ID | WOS:000778931500051 |
| Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ia.ac.cn/handle/173211/48247 |
| Collection | 复杂系统管理与控制国家重点实验室_先进机器人 |
| Corresponding Author | Xie, Xue-Jun |
| Affiliation | 1.Dezhou Univ, Sch Math & Big Data, Dezhou 253023, Peoples R China 2.Qufu Normal Univ, Inst Automat, Qufu 273165, Shandong, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China |
| Recommended Citation 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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