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Robust H_∞ control for neutral stochastic uncertain systems with time-varying delay 被引量:3
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作者 Guici Chen Xiaoping Wang 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2010年第4期658-665,共8页
The problem of robust H_∞ control for uncertain neutral stochastic systems with time-varying delay is discussed.The parameter uncertaintie is assumed to be time varying norm-bounded.First,the stochastic robust stabil... The problem of robust H_∞ control for uncertain neutral stochastic systems with time-varying delay is discussed.The parameter uncertaintie is assumed to be time varying norm-bounded.First,the stochastic robust stabilization of the stochastic system without disturbance input is investigated by nonlinear matrix inequality method.Then,a full-order stochastic dynamic output feedback controller is designed by solving a bilinear matrix inequality(BMI),which ensures a prescribed stochastic robust H_∞ performance level for the resulting closed-loop system with nonzero disturbance input and for all admissible uncertainties.An illustrative example is provided to show the feasibility of the controller and the potential of the proposed technique. 展开更多
关键词 stochastic robust H_∞ control neutral stochastic system uncertain system stochastic dynamic output feedback controller bilinear matrix inequality(BMI).
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Sampled-Data H_(∞)Dynamic Output Feedback Controller Design for Fuzzy Markovian Jump Systems 被引量:2
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作者 LIN Yuqian ZHUANG Guangming +2 位作者 XIA Jianwei CHEN Guoliang LU Junwei 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2023年第1期239-256,共18页
This paper considers the issue of H_(∞)dynamic output feedback controller design for T-S fuzzy Markovian jump systems under time-varying sampling with known upper bound on the sampling intervals.The main aim is to re... This paper considers the issue of H_(∞)dynamic output feedback controller design for T-S fuzzy Markovian jump systems under time-varying sampling with known upper bound on the sampling intervals.The main aim is to realize sampled-data fuzzy dynamic output feedback control so as to demonstrate the stochastic stability and H_(∞)performance index of the closed-loop sampled-data fuzzy Markovian jump systems.Then,by making the most of the information within the sampling interval,a suitable closed-loop function is constructed and the integral terms are handled by using free weighted matrix method and improved integral inequality technique.Numerical example and single-link robot arm are presented to show the effectiveness of the developed method. 展开更多
关键词 dynamic output feedback control fuzzy Markovian jump systems H_(∞)control sampleddata control stochastic stability
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