Delay-dependent robust stabilization for uncertain discrete-time fuzzy Markovian jump systems with mode-dependent time delays

2011 ◽  
Vol 164 (1) ◽  
pp. 66-81 ◽  
Author(s):  
Yashun Zhang ◽  
Shengyuan Xu ◽  
Yun Zou ◽  
Jinjun Lu
Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Guilei Chen ◽  
Zhenwei Zhang ◽  
Chao Li ◽  
Dianju Qiao ◽  
Bo Sun

This paper addresses the robust stabilization problem for a class of stochastic Markovian jump systems with distributed delays. The systems under consideration involve Brownian motion, Markov chains, distributed delays, and parameter uncertainties. By an appropriate Lyapunov–Krasovskii functional, the novel delay-dependent stabilization criterion for the stochastic Markovian jump systems is derived in terms of linear matrix inequalities. When given linear matrix inequalities are feasible, an explicit expression of the desired state feedback controller is given. The designed controller, based on the obtained criterion, ensures asymptotically stable in the mean square sense of the resulting closed-loop system. The convenience of the design is greatly enhanced due to the existence of an adjustable parameter in the controller. Finally, a numerical example is exploited to demonstrate the effectiveness of the developed theory.


1999 ◽  
Vol 32 (2) ◽  
pp. 4935-4940 ◽  
Author(s):  
Peng Shi ◽  
Ramesh K. Agarwal ◽  
El Kebir Boukas

2011 ◽  
Vol 403-408 ◽  
pp. 2293-2295
Author(s):  
Yi Zhong Wang

This paper is concerned with the robust stabilization problem for a class of stochastic markovian jump systems with Time-Varying delay. By applying a new Lyapunov-Krasovskii functional, a novel Delay-Dependent stabilization criterion for the stochastic Markovian jump systems is derived in terms of linear matrix inequalities(LMIs). When these LMIs are feasible, an explicit expression of the desired state feedback controller is given. Designed controller, based on the obtained criterion, ensures asymptotically stable in the mean square sense of the resulting Closed-Loop system for all admissible uncertainties and time delay.


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