Filtering-Based Robust Fault Detection for Uncertain Jump Systems
This paper addresses the robust fault detection problem for uncertain Markov jump systems (MJS) with unknown inputs and faults. Based on H1 control theory, the key idea is to formulate the design problem of robust fault detection filter (RFDF) as H∞ filtering problem for the overall mode-dependent dynamic system. By using the constructed Lyapunov function and linear matrix inequalities (LMIs), a sufficient condition that the solution of the RFDF exists is presented and proved, and an optimized design approach is obtained. At last, a numerical example is employed to demonstrate the feasibility and the validity of this method.
Shuping He Fei Liu
Institute of Automation Southern Yangtze University Wuxi, 214122, P. R. China
国际会议
南宁
英文
2007-07-20(万方平台首次上网日期,不代表论文的发表时间)