Adaptive Fuzzy Event-Triggered Control for Non-Strict Feedback Nonlinear Systems With Input Delay and Full State Constraints
An event-triggered-based adaptive fuzzy control strategy is proposed for full state constraints nonlinear systems against time-varying disturbance, non-strict feedback structure, and input delay in this paper. Fuzzy logic systems (FLSs) are implemented to estimate the unknown nonlinear functions in...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10274957/ |
| _version_ | 1797655666555355136 |
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| author | Zhongjun Yang Kaixuan Wang Qi Wu |
| author_facet | Zhongjun Yang Kaixuan Wang Qi Wu |
| author_sort | Zhongjun Yang |
| collection | DOAJ |
| description | An event-triggered-based adaptive fuzzy control strategy is proposed for full state constraints nonlinear systems against time-varying disturbance, non-strict feedback structure, and input delay in this paper. Fuzzy logic systems (FLSs) are implemented to estimate the unknown nonlinear functions in the systems. The influence of input delay can be compensated by the method of Pade approximation, and the barrier Lyapunov function (BLF) is exploited to handle the problem of full state constraints. The input-to-state stability (ISS) assumption regarding measurement errors can be removed through the co-design of the event-triggered mechanism and the controller. Based on Lyapunov stability theory, all the signals in the closed-loop system are proved semi-globally uniformly ultimately bounded (SGUUB), and only a tiny tracking error between the system output and the reference signals, moreover, the Zeno behavior is avoided. The effectiveness of the adaptive control scheme can be verified by two simulation examples. |
| first_indexed | 2024-03-11T17:17:50Z |
| format | Article |
| id | doaj.art-be962f063a4948d48b21416992e66b50 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-11T17:17:50Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-be962f063a4948d48b21416992e66b502023-10-19T23:00:48ZengIEEEIEEE Access2169-35362023-01-011111314811315910.1109/ACCESS.2023.332339510274957Adaptive Fuzzy Event-Triggered Control for Non-Strict Feedback Nonlinear Systems With Input Delay and Full State ConstraintsZhongjun Yang0https://orcid.org/0000-0001-5549-937XKaixuan Wang1https://orcid.org/0009-0005-6869-8366Qi Wu2https://orcid.org/0009-0002-0089-0827College of Information Engineering, Shenyang University of Chemical Technology, Shenyang, ChinaCollege of Information Engineering, Shenyang University of Chemical Technology, Shenyang, ChinaCollege of Information Engineering, Shenyang University of Chemical Technology, Shenyang, ChinaAn event-triggered-based adaptive fuzzy control strategy is proposed for full state constraints nonlinear systems against time-varying disturbance, non-strict feedback structure, and input delay in this paper. Fuzzy logic systems (FLSs) are implemented to estimate the unknown nonlinear functions in the systems. The influence of input delay can be compensated by the method of Pade approximation, and the barrier Lyapunov function (BLF) is exploited to handle the problem of full state constraints. The input-to-state stability (ISS) assumption regarding measurement errors can be removed through the co-design of the event-triggered mechanism and the controller. Based on Lyapunov stability theory, all the signals in the closed-loop system are proved semi-globally uniformly ultimately bounded (SGUUB), and only a tiny tracking error between the system output and the reference signals, moreover, the Zeno behavior is avoided. The effectiveness of the adaptive control scheme can be verified by two simulation examples.https://ieeexplore.ieee.org/document/10274957/Adaptive fuzzy controlevent-triggered mechanismfull state constraintsinput delaynon-strict feedback structure |
| spellingShingle | Zhongjun Yang Kaixuan Wang Qi Wu Adaptive Fuzzy Event-Triggered Control for Non-Strict Feedback Nonlinear Systems With Input Delay and Full State Constraints IEEE Access Adaptive fuzzy control event-triggered mechanism full state constraints input delay non-strict feedback structure |
| title | Adaptive Fuzzy Event-Triggered Control for Non-Strict Feedback Nonlinear Systems With Input Delay and Full State Constraints |
| title_full | Adaptive Fuzzy Event-Triggered Control for Non-Strict Feedback Nonlinear Systems With Input Delay and Full State Constraints |
| title_fullStr | Adaptive Fuzzy Event-Triggered Control for Non-Strict Feedback Nonlinear Systems With Input Delay and Full State Constraints |
| title_full_unstemmed | Adaptive Fuzzy Event-Triggered Control for Non-Strict Feedback Nonlinear Systems With Input Delay and Full State Constraints |
| title_short | Adaptive Fuzzy Event-Triggered Control for Non-Strict Feedback Nonlinear Systems With Input Delay and Full State Constraints |
| title_sort | adaptive fuzzy event triggered control for non strict feedback nonlinear systems with input delay and full state constraints |
| topic | Adaptive fuzzy control event-triggered mechanism full state constraints input delay non-strict feedback structure |
| url | https://ieeexplore.ieee.org/document/10274957/ |
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