| 基于遗传算法的广义T-S模糊模型预测函数控制 |
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| 引用本文： | 戴文战,杨爱萍,王晓. 基于遗传算法的广义T-S模糊模型预测函数控制[J]. 吉林大学学报(工学版), 2011, 0(Z1): 259-263 |
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| 作者姓名： | 戴文战 杨爱萍 王晓 |
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| 作者单位： | 浙江理工大学自动化研究所;浙江财经学院外国语学院 |
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| 基金项目： | “863”国家高技术研究发展计划项目(2009AA04Z139);高等学校博士学科点专项科研基金项目(20070338002) |
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| 摘 要： | 提出了一种基于遗传算法的广义T-S模糊模型预测函数控制算法。首先利用减法聚类确定隶属度函数中心和模糊规则数,然后利用遗传算法同时对广义T-S模型的其他前提参数和结论参数进行辨识,并进行全局寻优。最后将本文提出的算法应用在具有强非线性特性的pH中和过程中。仿真结果表明:本文算法具有较小的超调和较好的跟踪能力。
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| 关 键 词： | 自动控制技术 广义T-S模糊模型 遗传算法 预测函数控制 非线性系统 |
Generalized T-S fuzzy model predictive functional control based on genetic algorithm |
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| DAI Wen-zhan,YANG Ai-ping,WANG Xiao. Generalized T-S fuzzy model predictive functional control based on genetic algorithm[J]. Journal of Jilin University:Eng and Technol Ed, 2011, 0(Z1): 259-263 |
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| Authors: | DAI Wen-zhan YANG Ai-ping WANG Xiao |
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| Affiliation: | 1(1.Institute of Automatic Control,Zhejiang Sci-Tech University,Hangzhou 310018,China;2.Foreign Languages School,Zhejiang University of Finance and Economics,Hangzhou 310018,China) |
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| Abstract: | Generalized T-S fuzzy model predictive functional control based on genetic algorithm was given.Firstly,the center of fuzzy membership functions and the number of fuzzy rules were chosen by subtraction clustering.Secondly,the other premise parameters and the conclusion parameters of generalized T-S model fuzzy were identified by genetic algorithm.Thirdly,the system was controlled by predictive functional control algorithm.The proposed method was applied in PH neutralization process.The simulation results show that the overshoot of the proposed method is smaller,and the tracking ability is better. |
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| Keywords: | automatic control technology generalized T-S fuzzy model genetic algorithm predictive functional control nonlinear system |
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