Neural network H-infinity synchronization control for time delay chaotic neuronal systems

Yanqiu Che, Bei Liu, Huiyan Li, Yingmei Qin, Chunxiao Han

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This paper proposes a hybrid synchronization scheme for chaotic systems with input time delay and uncertainty. In the proposed framework, radial basis function (RBF) neural networks (NNs) are constructed to approximate the unknown smooth nonlinear functions of the synchronization error system. The time delay part is dealt with an adaptive controller and the effect of approximate errors, uncertainties and disturbances are reduced to a H∞ norm constraint. By Lyapunov stability theorem, the closed-loop of the controlled synchronization error system is proved to be stable around zero. Thus the synchronization of chaotic systems is obtained. A simulation example with Hindmarsh-Rose neuronal systems is presented to demonstrate the validity of the proposed control method.

Original languageEnglish (US)
Title of host publicationProceedings of the 28th Chinese Control and Decision Conference, CCDC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5575-5580
Number of pages6
ISBN (Electronic)9781467397148
DOIs
StatePublished - Aug 3 2016
Event28th Chinese Control and Decision Conference, CCDC 2016 - Yinchuan, China
Duration: May 28 2016May 30 2016

Publication series

NameProceedings of the 28th Chinese Control and Decision Conference, CCDC 2016

Other

Other28th Chinese Control and Decision Conference, CCDC 2016
CountryChina
CityYinchuan
Period5/28/165/30/16

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Control and Optimization
  • Statistics, Probability and Uncertainty
  • Artificial Intelligence
  • Decision Sciences (miscellaneous)

Fingerprint Dive into the research topics of 'Neural network H-infinity synchronization control for time delay chaotic neuronal systems'. Together they form a unique fingerprint.

Cite this