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.
This is a preview of subscription content, log in via an institution to check access.
References
Yang D, Zong G D, Su S F. H∞ tracking control of uncertain Markovian hybrid switching systems: a fuzzy switching dynamic adaptive control approach. IEEE Trans Cybern, 2022, 52: 3111–3122
Wang J, Xia J W, Shen H, et al. H∞ synchronization for fuzzy Markov jump chaotic systems with piecewise-constant transition probabilities subject to PDT switching rule. IEEE Trans Fuzzy Syst, 2021, 29: 3082–3092
Wu Z G, Shi P, Shu Z, et al. Passivity-based asynchronous control for markov jump systems. IEEE Trans Automat Contr, 2017, 62: 2020–2025
Liu L, Ma L F, Zhang J, et al. Sliding mode control for nonlinear Markovian jump systems under denial-of-service attacks. IEEE/CAA J Autom Sin, 2020, 7: 1638–1648
Yang Y, Li Y F, Yue D. Event-trigger-based consensus secure control of linear multi-agent systems under DoS attacks over multiple transmission channels. Sci China Inf Sci, 2020, 63: 150208
Zong G D, Ren H L, Karimi H R. Event-triggered communication and annular finite-time H∞ filtering for networked switched systems. IEEE Trans Cybern, 2021, 51: 309–317
Ma L F, Wang Z D, Hu J, et al. Probability-guaranteed envelope-constrained filtering for nonlinear systems subject to measurement outliers. IEEE Trans Automat Contr, 2021, 66: 3274–3281
Liu Y A, Xia J W, Meng B, et al. Extended dissipative synchronization for semi-Markov jump complex dynamic networks via memory sampled-data control scheme. J Franklin Inst, 2020, 357: 10900–10920
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).
Author information
Authors and Affiliations
Corresponding author
Additional information
Supporting information
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.
Rights and permissions
About this article
Cite this article
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
Received:
Revised:
Accepted:
Published:
DOI: https://doi.org/10.1007/s11432-020-3238-x