基于RPROP算法的模糊系统优化  

Optimizing fuzzy systems based on RPROP algorithm

作　　者：韩璞[1] 毛新静[1] 周黎辉[1] 孙海蓉[1] 

机构地区：[1]华北电力大学自动化系,保定071003

出　　处：《仪器仪表学报》2006年第z3期2322-2323,共2页Chinese Journal of Scientific Instrument

基　　金：华北电力大学博士学位教师科研基金(200512016)

摘　　要：提出了一种模糊系统优化方法:应用RPROP算法辨识模糊系统参数,消除了偏导数的大小对权值改变的影响。采用自适应模糊规则数选取方法获取模糊规则,避免了规则选取的盲目性。对非线性动态系统进行辨识研究,仿真结果表明了该方法的有效性和可行性。The paper describes a new method to optimize a fuzzy system. This method adopts RPROP algorithm to identify parameters of the fuzzy system, which eliminates the influence for partial derivative to weight changes. Combining with adaptive rule selecting method to get the number of fuzzy rules, therefore it can avoid blindness in choosing the fuzzy rules. Use this method to study on a nonlinear dynamic system, the simulation results demonstrate the efficiency and feasibility of the proposed method.

关 键 词：辨识 RPROP 模糊系统 

分 类 号：TH7-55[机械工程—仪器科学与技术]