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Passivity-based non-fragile control for Markovian jump delayed systems via stochastic sampling
Authors:Jiaojiao Ren  Xinzhi Liu  Hong Zhu  Shouming Zhong
Affiliation:1. School of Automation Engineering, University of Electronic Science and Technology of China , Chengdu, P.R. China jiaojiaoren06@163.com jiaojiaoren06@std.uestc.edu.cn;2. Department of Applied Mathematics, University of Waterloo , Waterloo, Canada;3. School of Automation Engineering, University of Electronic Science and Technology of China , Chengdu, P.R. China;4. School of Mathematical Sciences, University of Electronic Science and Technology of China , Chengdu, P.R. China
Abstract:This paper studies the problem of non-fragile passive control for Markovian jump delayed systems via stochastic sampling. The Markovian jumping parameters, appearing in the connection weight matrices and in two additive time-varying delay components, are considered to be different. The controller is assumed to have either additive or multiplicative norm-bounded uncertainties. The sampled-data with stochastic sampling is used to design the controller by a discontinuous Lyapunov functional. This functional fully utilises the sawtooth structure characteristics of the sampling input delay. By using the matrix decomposition method and some newly inequalities, sufficient conditions are obtained to guarantee that for all admissible uncertainties the system is robustly stochastically passive. Illustrative examples are provided to show the effectiveness of the results.
Keywords:Non-fragile control  Markovian jumping systems  sampled-data  stochastic sampling
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