DocumentCode :
2643062
Title :
Model-building for fault detection: adaptive parameter estimation of multi-input multi-output systems
Author :
Chowdhury, Fahmida N. ; Carrier, Lionel D.
Author_Institution :
Dept. of Electr. & Comput. Eng., Louisiana Univ., Lafayette, LA, USA
Volume :
2
fYear :
2000
fDate :
2000
Abstract :
A fast, simple, and powerful modeling technique has been presented in this paper. A set of ordinary Kalman filters is used for estimating the model parameters in real time. The model can be used as a residual-generator, or it can be used to design an adaptive controller
Keywords :
Kalman filters; MIMO systems; adaptive control; aerospace control; parameter estimation; Kalman filters; adaptive controller; adaptive parameter estimation; fault detection; model parameters; modeling technique; multi-input multi-output systems; residual-generator; Autoregressive processes; Electrical fault detection; Electrical safety; Fault detection; MIMO; Nonlinear equations; Parameter estimation; System identification; Systems engineering and theory; Time varying systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Avionics Systems Conference, 2000. Proceedings. DASC. The 19th
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-6395-7
Type :
conf
DOI :
10.1109/DASC.2000.884898
Filename :
884898
Link To Document :
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