Conclusion
In this study, we have investigated the observer-based event-triggered asynchronous control problem for networked MJSs under deception attacks and external disturbances. Based on the HMM modeling approach, the proposed ETM and observer can run asynchronously. Employing an NN technique reduces the influence of malicious deception attacks and external disturbances. The boundedness in probability of the closed-loop system has been guaranteed by a series of sufficient conditions. Note that the proposed method can be extended to more complex systems, such as nonlinear time-varying stochastic systems [7] and semi-Markov jump systems [8], which is extremely interesting and worthy of further study.
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Acknowledgements
This work was supported in part by National Natural Science Foundation of China (Grant Nos. 62073144, 61873099, 61733008), Natural Science Foundation of Guangdong Province (Grant No. 2020A1515010441), and Guangzhou Science and Technology Planning Project (Grant Nos. 202002030389, 202002030158).
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Appendixes A–E. The supporting information is available online at info.scichina.com and link.springer.com. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.
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Gao, X., Deng, F., Zhang, H. et al. Observer-based event-triggered asynchronous control of networked Markovian jump systems under deception attacks. Sci. China Inf. Sci. 66, 159204 (2023). https://doi.org/10.1007/s11432-020-3238-x
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DOI: https://doi.org/10.1007/s11432-020-3238-x