Robust Fault Tolerant Linear Quadratic Control based on Admissible Model Matching

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