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avoid rule中文是什么意思

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  • Control systems in modern automatic engineering are nonlinear, time-changed and indefinite . lt is difficult to model by traditional method, even sometime impossible . under these circumstances we should apply model identification to gain the approximate model of object for effective control, there are many models to be chosen, fuzzy model is one of them, it is put forward with the development of fuzzy control . fuzzy model has characteristics of general approximation and strong nonlinear, it is fit for describing complex, nonlinear systems . to avoid rules expansion when the number of input values are very big . in this paper we apply hierarchical fuzzy model to resolve this problem, we also illustrate it has general approximation to any nonlinear systems . genetic algorithm is a algorithm to help find the best parameters of process . lt has abilities of global optimizing and implicit parallel, it can be generally used for all applications . in our paper we use fuzzy model as predictive model and apply ga to identify fuzzy model ( including hierarchical fuzzy model ), we made experiments to nonlinear predictive systems and got very good results . the paper contains chapters as below : chapter 1 preface
    现代控制工程中的系统多表现为非线性、时变和不确定性,采用传统的建模方法比较困难,或者根本无法实现,在这种情况下,要实现有效的控制,必须采用模型辨识的方法来获取对象的近似模型,并加以控制,目前用于系统辨识的模型种类很多,模糊模型是其中的一种,它随着模糊控制的发展而被人提出,模糊模型具有万能逼近和强非线性的特点,比较适合于描述复杂非线性系统,为了解决模糊模型在输入变量较多时规则数膨胀的问题,文中引入递阶型模糊模型,并引证这种结构的通用逼近特性。遗传算法是模拟自然界生物进化“优胜劣汰”原理的一种参数寻优算法,它具有隐含并行性和全局最优化的能力,并且对寻优对象的要求比较低,在工程应用和科学研究中,得到了广泛的应用,本文将遗传算法引入模糊模型的辨识,取得了很好的效果。
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Last modified time:Wed, 13 Aug 2025 00:29:56 GMT

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