Control of chaos solely based on RBF neural network without an analytical model

被引：27

作者：

Liu, D ^{[1
]}

Ren, HP ^{[1
]}

Kong, ZQ ^{[1
]}

机构：

[1] Xian Univ Technol, Sch Automat & Informat Engn, Xian 710048, Peoples R China

来源：

ACTA PHYSICA SINICA | 2003年 / 52卷 / 03期

关键词：

chaos control; RBF neural network; parameter perturbation; measurement noise;

D O I：

10.7498/aps.52.531

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

An intelligent control method based on RBF neural network is proposed for chaos control. The control objective can be either periodic orbits or continuous variable functions without the need of an analytic model. The method is still effective when there are parameter perturbation and measurement noise. The influence of the RBF model error upon control precision is studied, and related theorem is developed and testified. Simulation results with a Logistic mapping and Henon attractor show the effectiveness and feasibility of this method.

引用

页码：531 / 535

页数：5

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