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Dynamic Event-Triggered Fuzzy Adaptive Control for Non-strict-Feedback Stochastic Nonlinear Systems with Injection and Deception Attacks

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Abstract

A dynamic event-triggered adaptive fuzzy control scheme for a class of non-strict feedback stochastic nonlinear systems with injection and deception attacks is developed in this article. Compared with the static event-triggered control (SETC), the dynamic event-triggered control (DETC) guarantees a longer trigger interval, which means it can be more efficient in saving system communication resources. In addition, both injection and deception attacks are considered to realize the information security of the controlled system, and a single parameter adaptive law is constructed for the control strategy to reduce the calculation scheme. This scheme ensures uniform boundedness of all signals within the closed-loop system in probability and the output is not violating the given constraint. Finally, a digital simulation and physical model comparison examples are presented and discussed, which visualize the superiority of the above scheme.

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Data Availability

The data used to support the findings of this study are available from the corresponding author upon request.

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Acknowledgements

This work was supported in part by the National Natural Science Foundation of China under Grant 61603003; in part by the Open Research Project of the State Key Laboratory of Industrial Control Technology, Zhejiang University, China, under Grant ICT2022B39; in part by the Program for Academic Top Notch Talents of University Disciplines under Grant gxbjZD21.

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Author notes

  1. Furong He, Xiaoguang He and Jing Li have contributed equally to this work.

Authors and Affiliations

  1. The University Key Laboratory of Intelligent Perception and Computing of Anhui Province, Anqing Normal University, Anqing, 246011, China

    Jian Wu & Furong He

  2. College of Equipment Management and Support, Engineering University of PAP, Xi’an, 710086, China

    Xiaoguang He

  3. The School of Mathematics and Statistics, Xidian University, Xi’an, 710071, China

    Jing Li

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  1. Jian Wu
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  2. Furong He
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Correspondence to Jian Wu.

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Wu, J., He, F., He, X. et al. Dynamic Event-Triggered Fuzzy Adaptive Control for Non-strict-Feedback Stochastic Nonlinear Systems with Injection and Deception Attacks. Int. J. Fuzzy Syst. 25, 1144–1155 (2023). https://doi.org/10.1007/s40815-022-01429-2

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