Article ID Journal Published Year Pages File Type
1864925 Physics Letters A 2008 9 Pages PDF
Abstract

In this Letter, synchronization of a class of chaotic neural networks with known or unknown parameters is investigated. By combing the adaptive control and linear feedback with update law, a simple, analytical, and rigorous adaptive feedback scheme is derived to achieve synchronization of two coupled neural networks with time-varying delay based on the invariant principle of functional differential equations and parameter identification. With this method, parameter identification and synchronization can be achieved simultaneously. Simulation results are given to justify the theoretical analysis.

Related Topics
Physical Sciences and Engineering Physics and Astronomy Physics and Astronomy (General)
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