PID neural network based predictive fuzzy control research

被引：0

作者：

Lv, Jin ^{[1
]}

Guo, Chen ^{[1
]}

Yuan Shi-chun ^{[1
]}

机构：

[1] Dalian Maritime Univ, Automat & Elect Engn Coll, Dalian 116026, Peoples R China

来源：

PROCEEDINGS OF 2007 IEEE INTERNATIONAL CONFERENCE ON GREY SYSTEMS AND INTELLIGENT SERVICES, VOLS 1 AND 2 | 2007年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Aiming to get 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 has perfect control effect.

引用

页码：947 / 951

页数：5

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