摘要
利用模糊聚类和最小二乘估计方法提出一种模糊辨识方法。该方法是基于模糊聚类，计算给定样本在各类中的隶属度，并利用递推最小二乘估计辨识模糊模型的后件参数。采用该方法对火力发电厂电站仿真器中的汽轮发电机密封油冷却系统进行建模研究，取得了满意的效果。
A general method of the fuzzy identification based on the fuzzy clustering and recursive least square algorithm is proposed. The membership grade of each sample is calculated by the fuzzy clustering, and the parameters of the conclusion polynomials in the rules are identified by the recursive least square algorithm. It is used to identify the cooling system of turbogenerator with seal oil, and the satisfied result is obtained.
出处
《控制与决策》
EI
CSCD
北大核心
1999年第1期56-60,共5页
Control and Decision
基金
国家高等学校博士点学科专项科研基金
关键词
模糊辨识
系统辨识
电站仿真
仿真器
汽轮发电机
fuzzy identification, fuzzy clustering, recursive least square estimation, system identification, cooling system of turbogenerator with seal oil
