Filter Design for Discrete-Time Markovian Jump Singular Systems with Its Application to Fault Detection

摘要：

This paper is concerned with the problem of fault detection for discrete-time Markovian jump singular systems with intermittent measurements. The measurements transmission from the plant to the fault detection filter is assumed to be imperfect and a stochastic variable is utilized to model the phenomenon of data missing. Our attention is focused on the design of a fault detection filter such that the residual system is stochastic Markovian jump admissible and satisfies some scheduled performance. A new necessary and sufficient condition for a class of discrete-time Markovian jump singular systems to be stochastic Markovian jump admissible is proposed in the form of strict linear matrix inequalities (LMIs). Sufficient conditions are proposed for the existence of fault detection filter. Finally, a numerical example is provided to illustrate the usefulness and applicability of the developed theoretical results.

作者: Xiuming Yao Yaowen Feng Ligang Wu Wei Xing Zheng

作者单位: Space Control and Inertial Technology Research Center Harbin Institute of Technology Harbin,150001,P School of Computing and Mathematics University of Western Sydney Penrith South DC NSW 1797,Australia

会议类型: 国际会议

会议名称: The 3rd International Symposium on Systems and Control in Aeronautics and Astronautics(第三届航空航天系统与控制国际会议 ISSCAA 2010)

会议地点: 哈尔滨

会议语种:英文

页码: 323-328

在线出版日期: 2010-01-08（万方平台首次上网日期，不代表论文的发表时间）