A Sampling Selection Method for Multi-rate Sampling Control in Distributed Model Predictive Control

In distributed control, different subsystems exhibit different dynamic behavior, system performance is not perfect using the single sampling time. In this paper, considering different dynamic behavior of subsystems, and use the proposed correlation function to determine the sampling time. According to the determined sampling time, continuous-time system is discretized, and the discretization model is obtained, the controller is designed according to the discretization model. The proposed method is applied to two-stage CSTRs, the simulation result shows the dynamic performance and steady state performance of system is improved under different sampling time.

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