基于ANN模型的非线性自校正预测控制器
Artificial Neural Networks Based Nonlinear Self-Tuning Predictive Controller
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摘要: 采用局部建模和线性化方法,提出了一种基于人工神经网络(Artificial Neural Network --ANN)模型的非线性自校正预测控制算法.仿真实例表明,所提控制策略可有效地 控制某些未知多变量非线性动态系统.Abstract: Using neural networks as nonlinear predictors, this paper proposes a self-tuning predictive controller for multivariables nonlinear systems. The main idea of the presented control strategy is to use the linearization technique in feedforward neural net identifier models. Simulation examples including a time-varying plant and a nonlinear plant are shown to demonstrate the effectiveness of the control algorithm.
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