Model Predictive Control-based Stability Performance Recovery

This paper studies the stability performance recovery for linear systems with input and output constraints. In particular, the model predictive controller is formulated based on the nominal model to cope with constraints. The multiplicative fault-induced performance degradation is detected by the stability margin. For the purpose to recover the stability performance, the model of the faulty plant is identified with the aid of the process data, then, the model predictive controller is reconfigured based on the identified model.