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模糊控制理论的发展及应用
引用本文:曹伟.模糊控制理论的发展及应用[J].高师理科学刊,2007,27(3):43-45.
作者姓名:曹伟
作者单位:齐齐哈尔大学,计算机与控制工程学院,黑龙江,齐齐哈尔,161006
摘    要:常规控制的基本特点是控制器的设计要建立在被控对象的数学模型基础上,但是在许多情况下被控对象的精确数学模型很难建立,而采取模糊控制和其它技术的结合形成的控制方法,在对多变量、非线性、不确定的复杂系统中却能取得较好的控制效果.对此总结了模糊控制理论发展的概况,介绍了模糊控制理论与其它控制方法的结合技术,探讨了模糊控制当前亟待解决的问题和发展前景.

关 键 词:模糊控制  遗传算法  神经网络
文章编号:1007-9831(2007)03-0043-03
收稿时间:2007-03-10
修稿时间:2007-03-10

The developing survey and status quo of fuzzy control theory
CAO Wei.The developing survey and status quo of fuzzy control theory[J].Journal of Science of Teachers'College and University,2007,27(3):43-45.
Authors:CAO Wei
Institution:School of Computer and Control Engineering, Qiqihar University, Qiqihar 161006, China
Abstract:Creating control equipment based on the mathematic model to describe the controlled object is characteristic of the traditional control.In many cases,founding the exact mathematic model isn’t easy.So combining fuzzy control and other technique may make good effect in the abstract system of multi-variable and uncertainty.The developing survey of the theory of fuzzy control is summarized.The paper introduces the combined technique of the fuzzy control theory and other control methods and inquires into the problems in fuzzy control to be resolved quickly and the developing prospect.
Keywords:fuzzy control  genetic algorithm  neural network
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