DocumentCode :
1986287
Title :
Fault detection for uncertain sampled-data systems
Author :
Zhang, P. ; Ding, S.X. ; Wang, G.Z. ; Zhou, D.H.
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
Volume :
4
fYear :
2002
fDate :
2002
Firstpage :
2728
Abstract :
Studies the fault detection (FD) problem for uncertain sampled-data systems. A direct design approach of the discrete-time FD system is presented which takes the intersample behavior into account. The resulting FD system achieves the best compromise between the sensitivity to the faults and the robustness to the unknown disturbances and model uncertainty.
Keywords :
continuous time systems; discrete time systems; fault diagnosis; filtering theory; linear systems; observers; optimisation; sampled data systems; uncertain systems; direct design approach; discrete-time system; fault detection; intersample behavior; model uncertainty; robustness; uncertain sampled-data systems; unknown disturbances; Acceleration; Application software; Automatic control; Automation; Fault detection; Integrated circuit modeling; Robust control; Robustness; Uncertainty; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
Type :
conf
DOI :
10.1109/WCICA.2002.1020014
Filename :
1020014
Link To Document :
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