| Time-/Event-Triggered Adaptive Neural Asymptotic Tracking Control of Nonlinear Interconnected Systems With Unmodeled Dynamics and Prescribed Performance | |
Cheng, Ting-Ting1; Niu, Ben1; Zhang, Jia-Ming1; Wang, Ding2,3 ; Wang, Zhen-Hua1
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| Source Publication | IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
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| ISSN | 2162-237X |
| 2021-12-06 | |
| Pages | 11 |
| Corresponding Author | Niu, Ben(niubensdnu@163.com) ; Wang, Zhen-Hua(wzhua111@126.com) |
| Abstract | This article proposes two adaptive asymptotic tracking control schemes for a class of interconnected systems with unmodeled dynamics and prescribed performance. By applying an inherent property of radial basis function (RBF) neural networks (NNs), the design difficulties aroused from the unknown interactions among subsystems and unmodeled dynamics are overcome. Then, in order to ensure that the tracking errors can be suppressed in the specified range, the constrained control problem is transformed into the stabilization problem by using an auxiliary function. Based on the adaptive backstepping method, a time-triggered controller is constructed. It is proven that under the framework of Barbalat's lemma, all the variables in the closed-loop system are bounded and the tracking errors are further ensured to converge to zero asymptotically. Furthermore, the event-triggered strategy with a variable threshold is adopted to make more precise control such that the better system performance can be obtained, which reduces the system communication burden under the condition of limited communication resources. Finally, an illustrative example is provided to demonstrate the effectiveness of the proposed control scheme. |
| Keyword | Interconnected systems Artificial neural networks Closed loop systems Multi-agent systems Asymptotic stability Switches Stability criteria Asymptotic tracking control event-triggered control neural networks (NNs) nonlinear interconnected systems prescribed performance control (PPC) unmodeled dynamics |
| DOI | 10.1109/TNNLS.2021.3129228 |
| WOS Keyword | OUTPUT-FEEDBACK CONTROL ; FAULT-TOLERANT CONTROL ; DESIGN |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | National Natural Science Foundation of China[61873151] ; National Natural Science Foundation of China[61803237] ; National Natural Science Foundation of China[62073201] ; Shandong Provincial Natural Science Foundation of China[ZR2019MF009] ; Taishan Scholar Project of Shandong Province of China[tsqn201909078] ; Major Scientific and Technological Innovation Project of Shandong Province, China[2019JAZZ020812] ; Major Program of Shandong Province Natural Science Foundation, China[ZR2018ZB0419] |
| Funding Organization | National Natural Science Foundation of China ; Shandong Provincial Natural Science Foundation of China ; Taishan Scholar Project of Shandong Province of China ; Major Scientific and Technological Innovation Project of Shandong Province, China ; Major Program of Shandong Province Natural Science Foundation, China |
| WOS Research Area | Computer Science ; Engineering |
| WOS Subject | Computer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic |
| WOS ID | WOS:000732080600001 |
| Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ia.ac.cn/handle/173211/46819 |
| Collection | 复杂系统管理与控制国家重点实验室 |
| Corresponding Author | Niu, Ben; Wang, Zhen-Hua |
| Affiliation | 1.Shandong Normal Univ, Sch Informat Sci & Engn, Jinan 250014, Shandong, Peoples R China 2.Beijing Univ Technol, Fac Informat Technol, Beijing 100124, 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 | Cheng, Ting-Ting,Niu, Ben,Zhang, Jia-Ming,et al. Time-/Event-Triggered Adaptive Neural Asymptotic Tracking Control of Nonlinear Interconnected Systems With Unmodeled Dynamics and Prescribed Performance[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2021:11. |
| APA | Cheng, Ting-Ting,Niu, Ben,Zhang, Jia-Ming,Wang, Ding,&Wang, Zhen-Hua.(2021).Time-/Event-Triggered Adaptive Neural Asymptotic Tracking Control of Nonlinear Interconnected Systems With Unmodeled Dynamics and Prescribed Performance.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,11. |
| MLA | Cheng, Ting-Ting,et al."Time-/Event-Triggered Adaptive Neural Asymptotic Tracking Control of Nonlinear Interconnected Systems With Unmodeled Dynamics and Prescribed Performance".IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2021):11. |
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