摘要
通过一个仿真实例的研究，阐述了实现操作人员控制策略的模糊神经网络方法，并讨论了模糊神经网络控制器（ＦＮＮＣ）的鲁棒性问题．仿真结果证实了该实现方法的有效性．
An implementation approach to human operator's successful control strategy using fuzzy neural networks is studied through a simulation example. The robustness of the fuzzy neural networks based fuzzy logic controller (FNNC) on unmodelled dynamics,period disturbances and parameters's change of the plant have been investigated through simulations. The advantage and effectiveness of the proposed FNNC have been confirmed by our studies here.
出处
《东北大学学报（自然科学版）》
EI
CAS
CSCD
1995年第1期56-61,共6页
Journal of Northeastern University(Natural Science)
基金
国家自然科学基金
关键词
模糊控制
模糊神经网络
监督学习
鲁棒性
fuzzy logic controller,fuzzy neural networks, learning algorithm, robustness.
