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An Auto-adaptive PSD Predictive Control Method Based on Neural Network For Large Time-Delay Object

机译:一种基于神经网络的大型时滞对象的自适应PSD预测控制方法

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Considering the difficulty of large time-delay process control, take advantage of the approaching ability of neural network to nonlinear system, a smith predictor with neural network is constructed. At the same time, use identification-free adaptive algorithm to adjust the coefficient of the single-neuron PSD controller. Combine them, a new control method appear. The result of the simulation indicated that the method has a concise algorithm and high accuracy.
机译:考虑到大型时滞过程控制的难度,利用神经网络到非线性系统的接近能力,构建了具有神经网络的史密斯预测因子。同时,使用无识别自适应算法来调整单神经元PSD控制器的系数。结合它们,出现一个新的控制方法。模拟结果表明该方法具有简洁的算法和高精度。

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