Multi-step Predictive Fuzzy Control Research Based on Incomplete Recurrent Neural Network

摘要：

Aiming to 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 Incomplete Recurrent Neural Network and fuzzy CMAC controller, we solved 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 shown that the method had perfect control effect.

作者: Jin LV Chen Guo Yu Liu Yuan Zhang

作者单位: Automation and Electric Engineering College Dalian Maritime University Dalian ,116026, P.R.China

会议类型: 国际会议

会议名称: Fourth International Conference on Impulsive and Hybrid Dynamical Systems(ICIHDS 2007)(第四届国际脉冲和混合动力系统学术会议)

会议地点: 南宁

会议语种:英文

在线出版日期: 2007-07-20（万方平台首次上网日期，不代表论文的发表时间）