一种新的T-S模糊模型数学建模方法  

A new approach to modeling of T-S fuzzy models

作　　者：郎月[1] 常晓恒[2] 

机构地区：[1]渤海大学数理学院,辽宁锦州121013 [2]渤海大学工学院,辽宁锦州121013

出　　处：《渤海大学学报（自然科学版）》2014年第3期265-269,共5页Journal of Bohai University:Natural Science Edition

基　　金：国家自然科学基金项目(No:61104071);辽宁省高等学校杰出青年学者成长计划项目(No:LJQ2012095);辽宁省装备制造综合自动化重点实验室开放项目(No:1120211415)

摘　　要：T-S模糊系统被广泛应用于基于数据的建模应用中,T-S模糊系统的建模问题在非线性系统的分析与设计中一直是个很重要的问题.在常见的T-S模糊系统建模方法的基础上,提出一种新的建模方法.该方法利用泰勒级数和麦克劳林级数展开式将非线性项进行分解,相对于现有的建模方法来讲,在一定程度上提高了建模精度.T -S fuzzy system has been widely used in data- driven modeling applications. The modeling of T - S fuzzy system in nonlinear system analysis and design has always been a very important problem. On the ba- sis of common T - S fuzzy system modeling method, a new modeling method was presented. The new method was based on the idea of Maclaurin series expansions and the nonlinear term was decomposed. Compared with exist- ing methods of mathematical modeling, the modeling accuracy was improved to a certain extent.

关 键 词：T—S模糊模型 泰勒级数 麦克劳林级数 非线性 

分 类 号：C934.1[经济管理—管理学]