Improved model prediction and RMPC design for LPV systems with bounded parameter changes

This paper studies the futuremodel prediction and robustmodel predictive control (RMPC) design for linear parameter varying systems with bounded parameter changes. By developing tight bound estimations for varying parameters, we construct a set-valuedmap as the predicted family of futuremodels. This construction attains accurate estimations and thus reduces conservativeness. Based on model predictions, we use a parameter-dependent feedback to design RMPC that achieves an enhanced performance with guaranteed robust and stability properties. © 2013 Elsevier Ltd. All rights reserved.