Observer-Based Controller Design for Singular Stochastic Markov Jump Systems with State Dependent Noise

ZHAO Yong; ZHANG Weihai

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Observer-Based Controller Design for Singular Stochastic Markov Jump Systems with State Dependent Noise

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This paper is concerned with the problem of observer-based controller design for singular stochastic Markov jump systems with state-dependent noise.Two concepts called "non-impulsiveness" and "mean square admissibility" are introduced,which are different from previous ones.Sufficient conditions for the open-and closed-loop singular stochastic Markov jump systems with state-dependent noise to be mean square admissible are provided in terms of strict LMIs.The controller gain and the observer gain which guarantee the resulting closed-loop error system to be mean square admissible are obtained in turn by solving the strict LMIs.A numerical example is presented to show the efficiency of the design approach.

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《系统科学与复杂性：英文版》 |2016年第4期|946-958|共13页
作者
ZHAO Yong; ZHANG Weihai;
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College of Electrical Engineering and Automation and College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao 266590, China;

College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, China;

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Observer-Based Controller Design for Singular Stochastic Markov Jump Systems with State Dependent Noise

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