摘要
首先给出了非线性系统的线性多模糊模型表示 ,然后根据实际对象在不同运行点附近的状态 ,采用最大隶属度原则识别匹配模型。从而选择相应控制器的多模型控制方法。
This paper first gives a linear multi\|fuzzy model presentation of a nonlinear system. Then, multi\|fuzzy model control strategy was presented. Based on different equilibrium point states of nonlinear system, linear model is recognized according to maximum membership function rule and corresponding controller is chosen.
出处
《机电工程》
CAS
2000年第2期83-84,共2页
Journal of Mechanical & Electrical Engineering
关键词
多模糊模型
非线性系统
隶属度
预测控制
Multi\|fuzzy model
nonlinear system
membership
model recognized
