| 不确定对象的自学习模糊神经网络控制方法 |
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| 引用本文： | 陈善本 李友善. 不确定对象的自学习模糊神经网络控制方法[J]. 模糊系统与数学, 1997, 11(2): 63-69 |
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| 作者姓名： | 陈善本 李友善 |
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| 作者单位： | [1]哈尔滨工业大学材料学院 [2]河北机电学院电动化系 |
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| 摘 要： | 本文对具有不确定性控制对象提出了一种自学习模糊神经网络控制方法，模糊控制器采用误差，误差变化及误差加速度的加权和解析描述形式，利用人工神经网络直接对过程的建模，实现对模糊加权因子的自学习优化调整。将上述方法用于焊接熔池动态过程控制实实验，结果表明本文提出的自学习模糊神经网络控制方案有效。
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| 关 键 词： | 不确定对象 自学习神经网络 模糊控制 鲁棒控制 |
A Self learning Fuzzy Neural Network Control of Uncertain Objects |
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| Chen Shanben Wu Lin. A Self learning Fuzzy Neural Network Control of Uncertain Objects[J]. Fuzzy Systems and Mathematics, 1997, 11(2): 63-69 |
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| Authors: | Chen Shanben Wu Lin |
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| Abstract: | A self learning fuzzy neural network control approach to the controlled objects with uncertainties is presented in this paper.Using artificial neural networks for modelling the objects,the fuzzy controllor described in the analysis formula with control error, error change and error accelation is real timely regulated by self learning weight factors.The results of experiment and simulation on the dynamic process of welding current top bead width in the pulse TIG welding show that the self learning fuzy neural network control scheme presented in this paper is effective. |
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| Keywords: | Uncertain Objects Self learning Neural Networks Fuzzy Control |
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