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Ultimately Bounded \(\mathcal {L}_\infty\) Output Feedback Control of Event-Triggered Nonlinear Systems Under Cyber Attacks

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Abstract

This paper studies output-based \(\mathcal {L}_\infty\) security control of nonlinear system under the event-triggered mechanism (ETM) and random deception attacks. Firstly, a general ETM is proposed, whose triggering threshold includes both of a plant-dependent term and a plant-independent constant. Unlike some existing ETMs having high triggering rates during steady stage or transient stage, the proposed ETM can keep a low triggering rate during the whole system-running time. By integrating effects of the ETM, Bernoulli-distribution deception attacks, and network-induced delays in a unified framework, a closed-loop T-S fuzzy system model is built. Then, ultimately bounded stability criteria are obtained with guaranteed \(\mathcal {L}_\infty\) performance. Next, sufficient conditions for designing dynamic output feedback fuzzy controller are derived. Finally, an example illustrates effectiveness of the proposed methods.

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Acknowledgements

This work was supported by National Natural Science Foundation of China under Grant 61703146; Scientific Project in Henan Province under Grant 202102110126; Backbone Teacher in Henan Province under Grant 2020GGJS048.

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Correspondence to Jingqi Fu.

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Gao, L., Li, F. & Fu, J. Ultimately Bounded \(\mathcal {L}_\infty\) Output Feedback Control of Event-Triggered Nonlinear Systems Under Cyber Attacks. Int. J. Fuzzy Syst. 24, 3532–3543 (2022). https://doi.org/10.1007/s40815-022-01346-4

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  • DOI: https://doi.org/10.1007/s40815-022-01346-4

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