A two level coordination algorithm is presented for moving horizon optimization of predictive control based on NARMA model.
针对NARMA模型,提出了预测控制滚动优化的两级协调法。
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For on-line fault diagnosis of hydraulic AGC system on strip rolling mill, a recursive neural network model based on NARMA was established. The model order is determined by AIC method.
To solve the problem of modeling temperature control in the fermentation process, a neural network nonlinear auto regressive moving average(NN-NARMA) modeling method for nonlinear system is proposed.