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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...
In this paper, we propose a model predictive control (MPC) law for a discrete time uncertain singular system with state delay and input constraints. The model uncertainty is assumed to be polytopic, and the delay is assumed to be unknown, but with a known upper bound. Using zero equation with the free variable matrix, we derive a sufficient condition for cost monotonicity in terms of LMI, which can...
In this paper, we present a method for synthesizing a robust model predictive control for uncertain time-varying systems with state delay. The goal is to design, at each sampling time, a state feedback control law that minimizes an upper bound of the worst-case objective function, subject to constraints of control inputs. The worst-case performance is defined as an infinite-horizon quadratic function...
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