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An off-line optimization, on-line execution robust model predictive control algorithm (RMPC) is designed for networked control systems (NCSs) with long time varying delays in feedback channels. Invariant sets are predetermined via off-line optimization, and on-line controller gains are selected according to system states. Predicted values are used to compensate data dropouts. Simulations and comparisons...
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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