Adaptive control of hyper-chaotic systems based on dynamic structure RBF neural networks

  • Wang Jing
  • , Gao Hong-Xia
  • , Tan Zhen-Yu
  • , Gao Jin-Feng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

An adaptive control scheme based on neural networks is presented for control of hyper-chaotic systems. Parameters of neural networks and controllers are adjusted automatically to ensure the stability of the closed-loop system. Numerical simulation illustrates that the proposed control scheme is valid for hyper-chaotic system.

Original languageEnglish
Title of host publicationMechanical and Electrical Technology IV
Pages2311-2314
Number of pages4
DOIs
StatePublished - 2012
Externally publishedYes
Event4th International Conference on Mechanical and Electrical Technology, ICMET 2012 - Kuala Lumpur, Malaysia
Duration: 24 Jul 201226 Jul 2012

Publication series

NameApplied Mechanics and Materials
Volume229-231
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference4th International Conference on Mechanical and Electrical Technology, ICMET 2012
Country/TerritoryMalaysia
CityKuala Lumpur
Period24/07/1226/07/12

Keywords

  • Adaptive control
  • Dynamic structure RBF neural networks
  • Hyper-chaotic systems

Fingerprint

Dive into the research topics of 'Adaptive control of hyper-chaotic systems based on dynamic structure RBF neural networks'. Together they form a unique fingerprint.

Cite this