Title :
An H∞ filtering approach to robust detection of failures in dynamical systems
Author :
Edelmayer, A. ; Bokor, J. ; Keviczky, L.
Author_Institution :
Comput. & Autom. Inst., Hungarian Acad. of Sci., Budapest, Hungary
Abstract :
Using results on H∞ output estimation theory this paper deals with the problem of designing robust detection filters in a continuous time setting for detecting failures in uncertain dynamical systems where methods for decoupling of the fault effects from system perturbations are not available. Through the appropriate choice of the filter gain a tradeoff is made between the effect of worst-case disturbance and L2 norm of the filter error
Keywords :
H∞ control; estimation theory; fault location; filtering theory; uncertain systems; H∞ filtering approach; H∞ output estimation theory; L2 norm; dynamical systems; fault effects decoupling; filter gain; robust detection filters; robust failure detection; worst-case disturbance; Eigenvalues and eigenfunctions; Estimation theory; Fault detection; Filtering theory; Filters; Lubricating oils; Petroleum; Riccati equations; Robustness; State estimation;
Conference_Titel :
Decision and Control, 1994., Proceedings of the 33rd IEEE Conference on
Conference_Location :
Lake Buena Vista, FL
Print_ISBN :
0-7803-1968-0
DOI :
10.1109/CDC.1994.411321
