| 一种自学习模糊神经网络多变量自适应控制器 |
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| 引用本文： | 王笑颜 符雪桐. 一种自学习模糊神经网络多变量自适应控制器[J]. 控制理论与应用, 1999, 16(2): 309-312 |
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| 作者姓名： | 王笑颜 符雪桐 |
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| 作者单位： | 浙江大学工业控制技术国家重点实验室,杭州,310027 |
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| 摘 要： | 本文在将文（６）的参数学习算法推广到多变量系统和对爬山法加以改进的基础上，提出了一种新的基于Ｐｉ－ｓｉｇｍａ混合型自适应模糊神经网络的多变量的自适应控制器。该控制器能在不需过多先验知识的情况下在线自学前件和后件参数，仿真结果表明，该控制器有效的。
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| 关 键 词： | 自适应控制 多变量系统 Pi-sigma混合型神经网络 自学习 |
| 收稿时间： | 1997-01-27 |
| 修稿时间： | 1998-01-08 |
A Self-Learning Multivariable Adaptive Controller Based on Fuzzy Logic Neural Network |
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| Wang Xiaoyan,Fu Xuetong. A Self-Learning Multivariable Adaptive Controller Based on Fuzzy Logic Neural Network[J]. Control Theory & Applications, 1999, 16(2): 309-312 |
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| Authors: | Wang Xiaoyan Fu Xuetong |
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| Abstract: | In this paper, the learning algorithm in paper [6]is extended fo multivariable system and the hill climbing search algorithm is improved. Furthermore, a novel multivariable adaptive controller based on hybrid Pi sigma neural network is proposed, which can learn the parameters of the IF and THEN part of the rules on line with little prior knowledge.The adaptive controller performs encouraging results in the simulation. |
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| Keywords: | adaptive cntrol multivariable system hybrid pi sigma neural network self-learning |
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