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Disturbance Attenuating Control for Cellular Neural Networks with Time-Varying Delays

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Abstract:

The problem of disturbance attenuating controller design for delayed cellular neural networks (DCNNs) is considered. Via combining four different states cases in DCNNs and applying Razumikhin function analysis, a feedback control law in the form of linear matrix inequality (LMI) is derived for guaranteeing disturbance attenuation of the closed systems. Finally, a numerical example of DCNNs is given to indicate the effectiveness of the proposed disturbance attenuating control.

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Periodical:

Applied Mechanics and Materials (Volumes 278-280)

Pages:

1242-1246

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.278-280.1242

Citation:

Cite this paper

Online since:

January 2013

Authors:

Ping Xiong, Han Lin He, Jian Jun Tu

Keywords:

Delayed Cellular Neural Networks (DCNNs), Disturbance Attenuating Control, Linear Matrix Inequality (LMI)

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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