摘要
基于模糊神经网络研究系统辨识问题,提出一种具体的模糊神经网络结构和相应算法,设计了开环系统和闭环系统辨识的结构。针对多个不同的对象进行仿真研究,结果表明用模糊神经网络建模较之传统建模方法能力强。
The paper proposes a FNN (Fuzzy Neural Network) structure and the relevant algorithm. This FNN is used as a tool to identificate sytems' structure. Under the different input signals. the simulations in the open-loop and closed-loop systems were done. Simulation results demonstrate that FNN has good abil-ity on modeling.
出处
《控制与决策》
EI
CSCD
北大核心
1997年第4期377-380,共4页
Control and Decision
关键词
模糊控制
模糊神经网络
系统辨识
fuzzy control, fuzzy neural networks, system identification
