Abstract
This paper presents a study on the finite-time tracking control problem for a class of nonstrict-feedback nonlinear systems with immeasurable states and unknown nonlinearities. To model the unknown functions, fuzzy logic system technique is employed and a state observer is proposed. Using this observer, an event-triggered finite-time output feedback control scheme is designed based on the backstep** method. The proposed controller guarantees finite-time convergence of the tracking error and boundedness of all states in the closed-loop system. Additionally, it reduces the computing burden and communication resources. A \(C^1\) switching function is introduced to overcome the singularity problem, and the Zeno behavior caused by the event-triggered strategy is avoided. Simulation results are presented to validate the effectiveness of the proposed controller.
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Acknowledgements
This work was supported in part by the Funds of National Science of China (Grant 62373176, Grant No. 61973146), in part by the Applied Basic Research Program in Liaoning Province (No. 2022JH2/101300276);and in part by Taishan Scholar Project of Shandong Province of China under Grant tsqn201909097.
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Appendix
Appendix
Proof of Lemma 5
\(\square\)
With the help of the sequence rearrangement, we have
which indicates
Therefore, it can be concluded that \(\sum _{i=2}^{n}z_{i}\left( \sigma _{i}- \frac{\partial \alpha _{i-1}}{\partial \hat{\Theta }}\dot{\hat{\Theta }}\right)\) is non-positive.
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Xu, B., Li, YX. Switching Fuzzy Adaptive Finite-Time Control of Nonlinear Systems via Event-Triggered Output Feedback Strategy. Int. J. Fuzzy Syst. 26, 304–319 (2024). https://doi.org/10.1007/s40815-023-01598-8
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DOI: https://doi.org/10.1007/s40815-023-01598-8