摘要：AbstractThis paper proposes a model predictive control for Markov-jump or switched linear systems (switching between a finite set of modes) when simultaneously considering prediction horizons (and realisations of the mode variable) of different length, in order to balance accuracy versus computational cost. Feasibility, stability and receding horizon issues are considered.
关键词：KeywordsMarkov-jump systemsconstrained model predictive controlminimax/average cost optimisationreceding horizonterminal setfeasible set
