Title :
Fault detection and isolation of linear impulsive systems
Author :
Meskin, Nader ; Khorasani, K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, QC, Canada
Abstract :
This paper investigates the development of Fault Detection and Isolation (FDI) filters for linear impulsive systems. The concept of an unobservability subspace is introduced for linear impulsive systems and an algorithm for its construction is described. The necessary and sufficient conditions for solvability of the fundamental problem of residual generation (FPRG) for linear impulsive systems are obtained by utilizing our introduced unobservability subspace. Simulation results demonstrate the effectiveness of our proposed FDI algorithm.
Keywords :
computability; fault diagnosis; filters; linear systems; fault detection filters; fault isolation filters; linear impulsive systems; residual generation; solvability; unobservability subspace; Artificial intelligence; Biological system modeling; Biological systems; Bismuth; Electrical fault detection; Fault detection; Hybrid intelligent systems; Nonlinear filters; Road transportation; Sufficient conditions;
Conference_Titel :
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3871-6
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2009.5400844
