Abstract

A quasi integral-differential (QID) type event-triggered model predictive control (ET-MPC) strategy for per-turbed LTI systems is developed. By considering the integral and the change rate of the error between the optimal prediction and its real state as the triggering condition, the calculation, and communication burden of the MPC method are significantly reduced. In addition, an improved robust constraint is used to handle additional disturbances. It is demonstrated that the QID ETMPC scheme is iteratively feasible and can stabilize the LTI system, and is further verified via a simulation experiment.

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