Adaptive H anti-synchronization for time-delayed chaotic neural networks

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24 Citations (Scopus)

Abstract

In this paper, an adaptive H control scheme is developed to study the antisynchronization behavior of time-delayed chaotic neural networks with unknown parameters. This adaptive H anti-synchronization controller is designed based on Lyapunov-Krasovskii theory and an analytic expression of the controller with its adaptive laws of parameters is shown. The proposed synchronization method guarantees the asymptotical anti-synchronization of drive and response systems. Furthermore, this method reduces the effect of external disturbance to an H norm constraint. The proposed controller can be obtained by solving a linear matrix inequality (LMI) problem. An illustrative example is given to demonstrate the effectiveness of the proposed method.

Original languageEnglish
Pages (from-to)1391-1403
Number of pages13
JournalProgress of Theoretical Physics
Volume122
Issue number6
DOIs
Publication statusPublished - 2009 Nov 1
Externally publishedYes

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synchronism
controllers
norms
disturbances

ASJC Scopus subject areas

  • Physics and Astronomy (miscellaneous)

Cite this

Adaptive H anti-synchronization for time-delayed chaotic neural networks. / Ahn, Choon Ki.

In: Progress of Theoretical Physics, Vol. 122, No. 6, 01.11.2009, p. 1391-1403.

Research output: Contribution to journalArticle

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