Title :
Fault Detection for robust control systems with uncertain system matrices
Author :
Suzuki, Kenji ; Tian, C. ; Fujii, T.
Author_Institution :
Graduate Sch. of Eng., Osaka Univ., Japan
Abstract :
In this paper we propose a new fault detection method for robust control systems. Our technique is based on the singular value analysis of system matrices which is intermittently updated by recursive subspace method. A threshold of system fault has been derived with respect to robust stability of the closed loop system independently of the measurement noise. The numerical examples demonstrate the validity of the proposed method.
Keywords :
closed loop systems; fault location; matrix algebra; robust control; singular value decomposition; uncertain systems; closed loop system; fault detection; measurement noise; recursive subspace method; robust control systems; robust stability; singular value analysis; system matrices; uncertain system matrices; Automation; Closed loop systems; Electrical equipment industry; Fault detection; Matrix decomposition; Noise measurement; Robust control; Robust stability; Singular value decomposition; Uncertain systems;
Conference_Titel :
SICE 2002. Proceedings of the 41st SICE Annual Conference
Print_ISBN :
0-7803-7631-5
DOI :
10.1109/SICE.2002.1196586