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Cited by 284

The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.

Event-Triggered Adaptive Fuzzy Fixed-Time Tracking Control for a Class of Nonstrict-Feedback Nonlinear Systems

Wang, Huanqing, Xu, Ke, Qiu, Jianbin·2021·IEEE Transactions on Circuits and Systems I: Regular Papers

Abstract

The problem of fuzzy-based adaptive event-triggered tracking control is investigated for a class of non-strict-feedback nonlinear systems within fixed-time interval in this paper. Fuzzy logic system (FLS) is employed to approximate the packaged unknown nonlinearities. Event-triggered mechanism is employed to schedule the data transmission dependent upon errors exceeding certain threshold. And combining backstepping design algorithm with Lyapunov stability theorem, a fuzzy-based adaptive event-triggered controller is developed. The presented control scheme eliminates the singularity problem that may occur in the design process and guarantees the boundedness of all the closed-loop signals. And the tracking error converges into a small neighborhood of zero in fixed-time. Meanwhile, the Zeno behavior is also avoided. At last, the effectiveness of the proposed approach is demonstrated by simulation results.

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Metadata

Authors
Wang, H., Xu, K., & Qiu, J.
Venue
IEEE Transactions on Circuits and Systems I: Regular Papers
Published
2021-07
Volume
68
Issue
7
Pages
3058-3068
ISSN
  • 1549-8328 (ISSN-L)
  • 1558-0806
OpenAlex
W3158042410
Cited by
284
References
44
FWCI
24.22
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Event-Triggered Adaptive Fuzzy Fixed-Time Tracking Control for a Class of Nonstrict-Feedback Nonlinear Systems. https://app.cochat.ai/papers/10.1109/tcsi.2021.3073024
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Wang, H., Xu, K., & Qiu, J. (2021). Event-Triggered Adaptive Fuzzy Fixed-Time Tracking Control for a Class of Nonstrict-Feedback Nonlinear Systems. IEEE Transactions on Circuits and Systems I: Regular Papers. https://doi.org/10.1109/tcsi.2021.3073024

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