Abstract
In Admissible Model Matching (AMM), fault tolerance aims at matching any model of an a priori specified set of admissible models, rather than at searching for an optimal approximation of a single reference one, as in the pseudo-inverse and modified pseudo-inverse methods. This approach allows to clearly characterize the set of recoverable faults, and moreover it exhibits a specific robustness property. This paper presents the AMM approach and applies it to the Linear Quadratic control design, by defining admissibility through an acceptable level of performance degradation.
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