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This paper presents a less attention event-driven model predictive control (MPC) approach for time-delay system, which leads to a little attention to the plant while keeping a good control performance. In this paper, the proposed event-driven MPC method saves more computation and communication resource by reducing the number and the time of event trigger than the usual event-driven mechanism. We design...
To track the wide range of operating points of fast time-varying processes, a novel multiple model off-line predictive control algorithm is presented. The proposed method is a combination of multiple model strategy and predictive control. Firstly, we locally describe the original nonlinear system around an operating point employing linear time varying (LTV) model. Then the offline model predictive...
Type-II fuzzy model is useful to handle the influence of uncertainties. This paper presents an algorithm of Type-II T-S fuzzy (T2TSF) modeling based on data clustering and two approaches to design T2TSF model-based predictive controllers. As the T2TSF model is an extension of T1TSF (Type-I T-S fuzzy) model, the T2TSF modeling algorithm divides the input-output data set into several Type-I fuzzy sets...
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