Predictive Control Based on PID Neural Network
Aiming at the control feature of large delay system like ships, designing a 2-rank derivative multi-step neural network predictive model and the algorithm, and presenting a fuzzy control scheme based on the model with PID Neural Network and fuzzy CMAC controller, we solve the problems of model online identification and controller online design in traditional adaptive control, so that the high precision output fellow-up control of systems with large delay and uncertain nonlinear features can be realized. Simulation results show that the method had perfect control effect
neural network fuzzy control large delay system nonlinear control simulation
FAN Hai-wei LV Jin
School of Information Engineering Changan University Xian, China
国际会议
重庆
英文
212-217
2011-01-21(万方平台首次上网日期,不代表论文的发表时间)