Robust model predictive control for constrained networked control system

In this paper, a robust model predictive control algorithm for polytope uncertain networked control systems with random time-delay and constrained input is presented. Considering the Min-Max infinite horizon cost function while the network delay is assumed as Markov chain, the mode-dependent state feedback controller is proposed, all the results are given by linear matrix inequality. The condition for the feasibility and robust stochastic stability of the algorithm is derived based on Lyapunov function method. The simulation shows the effectiveness of the proposed algorithm.

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