摘要
采用模糊控制和RBF神经网络训练相融合的方法,应用于对PID控制器参数的调整中,对非线性系统的控制仿真试验结果表明,该方法的控制性能优于单独采用RBF神经网络的控制。
The fusion method of fuzzy control and neural network is adopted to adjust parameters of PID controller, the control simulation of nonlinear system showed that control effect of the controller was better than that of the RBF neural network control.
出处
《西安邮电学院学报》
2007年第5期79-81,共3页
Journal of Xi'an Institute of Posts and Telecommunications
