Abstract
This paper addresses the stability and stabilization problems of uncertain Takagi–Sugeno (T-S) fuzzy system with control packet dropout. The process of packet loss is proposed, which is modeled according to some white noise sequences of Bernoulli distribution. Then, under the zero-input strategy, a newly stochastic switched sampled-data controller is introduced. Based on the Lyapunov function method, a novel Lyapunov–Krasovskii (LKF) function is constructed via introducing a fuzzy membership functions (FMFs), which can use the information about the actual sampling pattern. Each term of the LKF need not be positive, but it needs to be positive at sampling instants. Using the reciprocally convex method and relaxed free-matrix-based (FMB) integral inequality, novel stabilization criteria are established to guarantee that the T-S fuzzy system is stochastic stable when the control packet dropout occurs in a random way. Based on the linear matrix inequalities (LMIs), a fuzzy controller design algorithm for sampled data is presented to obtain a larger sampling interval. Finally, two numerical examples are used to verify the effectiveness and advantages of the proposed method.
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Acknowledgements
This paper is partially supported by the National Key Research and Development Plan (2018YFC0808104), the National Natural Science Foundation Fund (51874012), the Hebei Natural Science Foundation Fund (E2020209074), the Hebei Natural Science Foundation–Steel and Iron Foundation Fund (E2019105123), the Hebei Education Department Foundation Fund (ZD2019311).
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Ge, C., Yang, L., Zhao, Z. et al. Stochastic Switched Sampled-Data Control for Uncertain Fuzzy Systems with Packet Dropout. Int. J. Fuzzy Syst. 23, 145–157 (2021). https://doi.org/10.1007/s40815-020-00992-w
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DOI: https://doi.org/10.1007/s40815-020-00992-w