avoid rules meaning in Chinese
废止法规
Examples
- 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。