基于神经网络的无模型控制

Proceedings. International Conference on Machine Learning and Cybernetics Pub Date : 2002-11-04 DOI:10.1109/ICMLC.2002.1175425

Zhongjiu Zheng, Ning Wang

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引用次数: 3

摘要

提出了一种非线性对象的无模型控制方法。根据Wang et al.(1991)的神经元模型和学习策略，构建了神经网络模型并给出了学习算法。基于神经网络，设计了无模型控制器。以pH过程控制为例，仿真结果表明所提出的控制方法能够有效地控制非线性对象。

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Model-free control based on neural networks

A model-free control method for nonlinear plants is proposed. According to the neuron model and learning strategy in Wang et al. (1991), the neural network model is structured and the learning algorithm is also presented. Based on the neural network, the model-free controller is designed. In an example of control of a pH process, the simulation results show that the proposed control method can control a nonlinear plant efficiently.

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Proceedings. International Conference on Machine Learning and Cybernetics

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