Output feedback ℋ∞ synchronization for delayed chaotic neural networks

Research output: Contribution to journalArticle

33 Citations (Scopus)

Abstract

In this paper, we propose a new output feedback ℋ∞ synchronization method for delayed chaotic neural networks with external disturbance. Based on Lyapunov-Krasovskii theory and linear matrix inequality (LMI) approach, the output feedback ℋ∞ synchronization controller is presented to not only guarantee stable synchronization, but also reduce the effect of external disturbance to an ℋ∞ norm constraint. The proposed controller can be obtained by solving the LMI problem. An illustrative example is given to demonstrate the effectiveness of the proposed method.

Original languageEnglish
Pages (from-to)319-327
Number of pages9
JournalNonlinear Dynamics
Volume59
Issue number1-2
DOIs
Publication statusPublished - 2010 Jan 1
Externally publishedYes

Fingerprint

Chaotic Neural Network
Delayed Neural Networks
Output Feedback
Synchronization
Neural networks
Linear matrix inequalities
Feedback
Matrix Inequality
Linear Inequalities
Disturbance
Controller
Controllers
Lyapunov
Norm
Demonstrate

Keywords

  • ℋ∞ synchronization
  • Delayed chaotic neural networks
  • Linear matrix inequality (LMI)
  • Lyapunov-Krasovskii theory
  • Output feedback control

ASJC Scopus subject areas

  • Aerospace Engineering
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering
  • Ocean Engineering
  • Applied Mathematics

Cite this

Output feedback ℋ∞ synchronization for delayed chaotic neural networks. / Ahn, Choon Ki.

In: Nonlinear Dynamics, Vol. 59, No. 1-2, 01.01.2010, p. 319-327.

Research output: Contribution to journalArticle

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