Electronic Resource
Springer
Journal of optimization theory and applications
94 (1997), S. 241-250
ISSN:
1573-2878
Keywords:
Model validation
;
fault diagnosis
;
state estimation
;
uncertain systems
Source:
Springer Online Journal Archives 1860-2000
Topics:
Mathematics
Notes:
Abstract The paper presents a new approach to model validation and fault diagnosis problems for a class of uncertain systems in which the uncertainty is described by an integral quadratic constraint. The new approach is developed by applying methods from linear quadratic optimal control theory. This leads to a method for model validation and fault diagnosis which is based around a robust Kalman filter type structure.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1023/A:1022676106903
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