典型文献
Fuzzy identification of nonlinear dynamic system based on selection of important input variables
文献摘要：
Input variables selection (IVS) is proved to be pivotal in nonlinear dynamic system modeling. In order to optimize the model of the nonlinear dynamic system, a fuzzy modeling method for determining the premise structure by selecting important inputs of the system is studied. Firstly, a simplified two stage fuzzy curves method is proposed, which is employed to sort all possible inputs by their relevance with outputs, select the important input variables of the system and identify the structure. Secondly, in order to reduce the complexity of the model, the standard fuzzy c-means clustering algorithm and the recursive least squares algorithm are used to identify the premise parameters and conclusion parameters, respectively. Then, the effectiveness of IVS is verified by two well-known issues. Finally, the proposed identification method is applied to a realistic variable load pneu-matic system. The simulation experiments indiūcate that the IVS method in this paper has a positive influence on the approximation performance of the Takagi-Sugeno (T-S) fuzzy modeling.
文献关键词：
中图分类号：
作者姓名：
LYU Jinfeng;LIU Fucai;REN Yaxue
作者机构：
Engineering Research Center of the Ministry of Education for Intelligent Control System and Intelligent Equipment, Yanshan University, Qinhuangdao 066004, China;School of Mathematics and Information Science and Technology,Hebei Normal University of Science and Technology, Qinhuangdao 066004, China
文献出处：
引用格式：
[1]LYU Jinfeng;LIU Fucai;REN Yaxue-.Fuzzy identification of nonlinear dynamic system based on selection of important input variables)[J].系统工程与电子技术（英文版）,2022(03):737-747
A类：
B类：
Fuzzy,identification,nonlinear,dynamic,system,selection,important,variables,Input,IVS,proved,be,pivotal,modeling,order,optimize,fuzzy,method,determining,premise,structure,by,selecting,inputs,studied,Firstly,simplified,two,stage,curves,proposed,which,employed,sort,possible,their,relevance,outputs,identify,Secondly,reduce,complexity,standard,means,clustering,algorithm,recursive,least,squares,used,parameters,conclusion,respectively,Then,effectiveness,verified,well,known,issues,Finally,applied,realistic,load,pneu,matic,simulation,experiments,indi,cate,that,this,paper,has,positive,influence,approximation,performance,Takagi,Sugeno
AB值：
0.552788
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