Fuzzy Control with Logical RBF Neural Networks for Hydraulic Actuator System
For complex control problems.it is also desirable to introduce neural networks into fuzzy controI so as to simplify and automate the specification of linguistic rules.This leads to good adaptation.good robustness and less dependency on the precise modeI of the system.In the paper.a fuzzy control with Iogical RBF neural networks has been developed and applied to the positioning controI of a hydraufic actuator system.The simulation experiment results verify the superiority of the proposed control to the conventional PID controI in the static and dynamic control performance.The merits of both fuzzy control and artificial neural networks are well used.
fuzzy control(FC) RBF neural networks logical neurons hydraulic actuator system(HAS)
Yang Yong Li Yuzhong
国际会议
The International Conference Information Computing and Automation(2007国际信息计算与自动化会议)
成都
英文
663-666
2007-12-19（万方平台首次上网日期，不代表论文的发表时间）