The Generalized Dahlquist Constant with Applications in Synchronization Analysis of Typical Neural Networks via General Intermittent Control. (4th September 2011)

• Record Type: Journal Article
• Authors: Qunli, Zhang
• Other Names: Smolinski Tomasz G. Academic Editor.
• Is Part Of: Advances in artificial neural systems. (2011)
• Publication Date: 2011-09-04
• Subjects: Neural networks (Computer science) -- Periodicals; Neural networks (Computer science); Periodicals; Electronic journals; 006.32
• DOI: 10.1155/2011/249136
• Languages: English
• ISSNs: 1687-7594

Abstract

Abstract : A novel and effective approach to synchronization analysis of neural networks is investigated by using the nonlinear operator named the generalized Dahlquist constant and the general intermittent control. The proposed approach offers a design procedure for synchronization of a large class of neural networks. The numerical simulations whose theoretical results are applied to typical neural networks with and without delayed item demonstrate the effectiveness and feasibility of the proposed technique.