| 基于FIGA的广义T-S模糊模型预测控制 |
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| 引用本文： | 刘莉,安树.基于FIGA的广义T-S模糊模型预测控制[J].机械工程与自动化,2006(4):86-88. |
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| 作者姓名： | 刘莉 安树 |
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| 作者单位： | 燕山大学,电气工程学院,河北,秦皇岛,066004 |
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| 摘 要： | 利用广义T-S模糊模型对非线性系统具有万能逼近性得到系统的局部线性化，并利用一种快速综合性遗传算法（FIGA）对广义T-S模糊模型进行参数辨识，根据得到的线性化模型对系统采取广义预测控制（GPC）得到当前的控制动作。通过Matlab仿真证明了该方法的有效性。
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| 关 键 词： | 广义T-S模糊模型 遗传算法 预测控制 |
| 文章编号： | 1672-6413(2006)04-0086-03 |
| 收稿时间： | 2005-12-22 |
| 修稿时间： | 2006-03-05 |
Predictive Control of Generalized T-S Fuzzy Model Based on a Fast and Integrated Genetic Algorithm |
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| LIU Li,AN Shu.Predictive Control of Generalized T-S Fuzzy Model Based on a Fast and Integrated Genetic Algorithm[J].Mechanical Engineering & Automation,2006(4):86-88. |
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| Authors: | LIU Li AN Shu |
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| Affiliation: | College of Electrical Engineering,Yanshan University,Qinhuangdao 066004,China |
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| Abstract: | This paper introduces a new generalized T-S model fuzzy predictive control. A generalized T-S fuzzy model is used to approximate the dynamic of nonlinear processes, and the parameters identification is obtained by using GA. Then control action is gained using generalized predictive control based on the linearized model. The solution of simulation shows this new method is effective. |
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| Keywords: | generalized T-S fuzzy model genetic algorithm predictive control |
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