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Open Access. Powered by Scholars. Published by Universities.®

2010

National Taiwan Ocean University

Bidirectional associative memory neural networks

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Full-Text Articles in Engineering

A Delay-Dependent Approach To Robust Stability For Uncertain Hybrid Bidirectional Associative Memory Neural Networks With Time-Varying Delays, Chien-Yu Lu, Koan-Yuh Chang, Hsun-Heng Tsai, Wen-Jer Chang Apr 2010

A Delay-Dependent Approach To Robust Stability For Uncertain Hybrid Bidirectional Associative Memory Neural Networks With Time-Varying Delays, Chien-Yu Lu, Koan-Yuh Chang, Hsun-Heng Tsai, Wen-Jer Chang

Journal of Marine Science and Technology

This paper performs a global robust stability analysis of a particular class of hybrid bidirectional associative memory time-varying delayed neural network with norm-bounded timevarying parameter uncertainties. The activation functions are assumed to be globally Lipschitz continuous. Globally delay-dependent robust stability criteria are derived in the form of linear matrix inequalities by introducing relaxation matrices which, when chosen properly, produce a less conservative result. Two numerical examples are given to illustrate the significant improvement obtained in the conservativeness of the delay bound.