Conversed learning control based on ANFIS

被引：0

作者：

Wu Wen-bo ^{[1
]}

Qu Qiang ^{[1
]}

Wu Qing-hong ^{[1
]}

机构：

[1] Anshan Sci & Technol Univ, Elect & Informat Inst, Anshan 114044, Peoples R China

来源：

Proceedings of 2004 Chinese Control and Decision Conference | 2004年

关键词：

adaptive fuzzy inference system; conversed learning; fuzzy neural network; hybrid algorithm;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A method using adaptive-network-based fuzzy inference, system (ANFIS) to build conversed dynamic model of controlled system is introduced. The input of ANFIS is output and state of controlled system and its, output is input of controlled system. The parameters of the ANFIS are identified by the hybrid algorithm, which combines BP algorithm with LSE. Finally, an conversed dynamic model is built and applied to the simulation of the system. Compared the result of the simulation with that of tradition BP network model, it proved the effectiveness of the method.

引用

页码：503 / 505

页数：3