Fault Detection for Descriptor Systems with Markov Jump Parameters and Time-Varying Delays

摘要：

This paper investigates the observer-based fault detection. ltering problem for continuous-time descriptor Markov jump linear systems (DMJLSs). Both parameter uncertainties and state delays are assumed to be time-varying but bounded. A fault detection. lter (FDF) is designed such that for all admissible uncertainties, the resultant. ltering dynamics is robust stochastically stable, and the residual signal is robust to the unknown input and the known control input but sensitive to the fault. Moreover, an iterative linear matrix inequality (LMI) approach for. lter parameter computation as well as the residual evaluation and threshold calculation are also given. The validity of the proposed method is illustrated by a numerical example.

作者: Nan Xiao Zhiwei Gao

作者单位: School of Electrical Engineering and Automation,Tianjin University, Tianjin 300072, China. He is now Electrical Engineering and Automation,Tianjin University, Tianjin 300072, China

会议类型: 国际会议

会议名称: 2010 IEEE/ASME International Conference on Mechatronic and Embedded System and Applications(2010 IEEE 机电一体化和嵌入式系统与应用国际会议)

会议地点: 青岛

会议语种:英文

页码: 381-386

在线出版日期: 2010-07-15（万方平台首次上网日期，不代表论文的发表时间）