Solving Fuzzy Nonlinear Systems -- A Class of Defuzzification in the Fuzzy Control

Meizhen Jia, Xiaohua Peng
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引用次数: 2

Abstract

In order to achieve defuzzification, converts fuzzy quantity to accurate quantity in fuzzy control, researching about solving fuzzy nonlinear systems. Parameters transform method combines with homotopy method are introduced in this paper. The parameters transform method transforms a class of general fuzzy nonlinear systems and full fuzzy nonlinear systems into numerical nonlinear systems. Then, one can get solutions of the numerical nonlinear systems based on the homotopy method. It is feasible to choose any appropriate initial value when using homotopy method, avoiding the hard work of selecting appropriate initial values. The numerical experiments approve this method is a useful defuzzification at last. It is easier to accomplish defuzzification by solving the two fuzzy nonlinear systems. In this way, a class of fuzzy control can be established based on the defuzzification.
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求解模糊非线性系统——模糊控制中的一类解模糊化
为了实现去模糊化,将模糊控制中的模糊量转化为精确量,研究求解模糊非线性系统。本文介绍了参数变换法与同伦法的结合。参数变换方法将一类一般模糊非线性系统和全模糊非线性系统转化为数值非线性系统。然后,利用同伦方法得到数值非线性系统的解。在使用同伦方法时,选择合适的初始值是可行的,避免了选择合适初始值的辛苦工作。最后通过数值实验证明了该方法是一种有效的去模糊化方法。通过求解两个模糊非线性系统更容易实现解模糊化。这样,就可以在去模糊化的基础上建立一类模糊控制。
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