ROBUST FAULT DETECTION FOR UNCERTAIN TIME-DELAY SYSTEMS WITH MARKOVIAN JUMP PARAMETERS

摘要：

This paper is concerned with the problem of fault detection and isolation (PDI) for uncertain continuous-time state-delayed systems with Markovian jump parameters.The residual generator is constructed based on mode-dependent fault detection filter, i.e.the designed fault detection filter is Markovian jump system as well.The fault detection filter design is formulated as H∞ filtering problem and the adaptive threshold is adopted to achieve zero false alarm rate in the residual evaluation step.The designed fault detection filter can guarantee the difference between the generated residual signal and the fault signal as small as possible and the robustness of the residual to modelling errors, unknown inputs and control inputs.Sufficient condition for the existence of the above filters is established in terms of linear matrix inequalities (LMIs).A numerical example is provided to illustrate the effectiveness and applicability of the proposed method.

关键词： Uncertain time-delay systems Markovian jump parameters Robust fault detection H∞ filtering Linear matrix inequalities (LMIs)

作者: HONG-RU WANG HUI-JUN GAO

作者单位: School of Information & Communication Engineering, Harbin Engineering University, Harbin 150001, Chi Department of Electrical and Computer Engineering, University of Alberta, Edmonton, T6G 2V4, Canada

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 1066-1071

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）