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Synchronization of cellular neural networks of neutral type via dynamic feedback controller. (English) Zbl 1198.93182

Summary: We aim to study global synchronization for neural networks with neutral delay. A dynamic feedback control scheme is proposed to achieve the synchronization between drive network and response network. By utilizing the Lyapunov function and linear matrix inequalities (LMIs), we derive simple and efficient criterion in terms of LMIs for synchronization. The feedback controllers can be easily obtained by solving the derived LMIs.
Editorial remark: There are doubts about a proper peer-reviewing procedure of this journal. The editor-in-chief has retired, but, according to a statement of the publisher, articles accepted under his guidance are published without additional control.

MSC:

93D15 Stabilization of systems by feedback
34D06 Synchronization of solutions to ordinary differential equations
34K40 Neutral functional-differential equations
37N35 Dynamical systems in control
92B20 Neural networks for/in biological studies, artificial life and related topics

Software:

LMI toolbox
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Full Text: DOI

References:

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