| 一类工业过程的神经元智能控制 |
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| 引用本文： | 王永骥,徐桂英,涂健.一类工业过程的神经元智能控制[J].华中科技大学学报(自然科学版),1994(12). |
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| 作者姓名： | 王永骥 徐桂英 涂健 |
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| 作者单位： | 华中理工大学自动控制工程系 |
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| 摘 要： | 研究了基于自适应神经元的一类工业过程控制问题，分析了闭环系统稳定性与神经元控制器参数的关系，给出了闭环系统稳定的充分条件及神经元学习参数初值的一种方法及学习的收敛性证明。理论分析表明，神经元智能过程控制系统有很强的鲁棒性和适应性，仿真结果表明了其优良的性能。
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| 关 键 词： | 神经元智能控制 神经网络 工业过程控制 鲁棒性 稳定性 |
Adaptive Neuron Control of a Kind of Industrial Processes |
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| Wang Yongji,Xu Guiying,Tu Jian.Adaptive Neuron Control of a Kind of Industrial Processes[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,1994(12). |
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| Authors: | Wang Yongji Xu Guiying Tu Jian |
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| Institution: | Wang Yongji;Xu Guiying;Tu Jian |
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| Abstract: | The controller design of akind of industrial processes based on theadaptive neuron isstudied. The relationship between neuron controller parameters and closed-loop control sta-hlitv of such a svstem is analvzed and a sufficient condition of stability and a method of de-termining the initial weighting coefficients are given,A theoretical analysis shows that theneuron process control system has strong robustness and adaptivity. Simulation resuIts showthat the performance of the neuron control system is satisfactory. |
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| Keywords: | neuron intelligent control neural network industrial process control robust-ness stabilityWang Yongji (assoc prof Dept of Auto Contr Eng H U S T Wuhan 430074 China ) |
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