Asynchronous Dynamic Output Feedback Control for Delayed Fuzzy Stochastic Markov Jump Systems Based on HMM Strategy
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s40815-022-01273-4.pdf
Reference57 articles.
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2. Kwon, N.K., Park, I.S., Park, P.G.: State-feedback control for continuous-time Markovian jump fuzzy systems using a fuzzy weighting-dependent Lyapunov function. Nonlinear Dyn. 90(3), 2001–2011 (2017)
3. Zhu, Y., Zhang, L., Zheng, W.X.: Distributed $$H_{\infty }$$ filtering for a class of discrete-time Markov jump Lur’e systems with redundant channels. IEEE Trans. Ind. Electron. 63(3), 1876–1885 (2016)
4. Cheng, J., Park, J.H., Zhao, X., Karimi, H.R., Cao, J.: Quantized nonstationary filtering of network-based Markov switching RSNSs: a multiple hierarchical structure strategy. IEEE Trans. Autom. Control. 65(11), 4816–4823 (2020)
5. Zhuang, G., Ma, Q., Zhang, B., Xu, S., Xia, J.: Admissibility and stabilization of stochastic singular Markovian jump systems with time delays. Syst. Control Lett. 114, 1–10 (2018)
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1. Observer-Based Finite-Time Fuzzy H∞ Control for Markovian Jump Systems with Time-Delay and Multiplicative Noises;International Journal of Fuzzy Systems;2023-02-14
2. H∞ Asynchronous Deconvolution Fuzzy Filter Design for Nonlinear Singular Markov Jump Systems with Time-Varying Delays;International Journal of Fuzzy Systems;2022-10-18
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