Delay-dependent stability of neutral type neural networks with distributed delays

Authors:
Jun-e Feng;Shengyuan Xu;Yun Zou
Affiliations:
School of Mathematics and System Sciences, Shandong University, Jinan 250100, PR China and School of Automation, Nanjing University of Science and Technology, Nanjing 210094, PR China;School of Automation, Nanjing University of Science and Technology, Nanjing 210094, PR China;School of Automation, Nanjing University of Science and Technology, Nanjing 210094, PR China
Venue:
Neurocomputing
Year:
2009

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Abstract

This paper deals with the problem of stability analysis of neutral type neural networks with both discrete and unbounded distributed delays. In terms of linear matrix inequalities, delay-dependent conditions are obtained, which guarantee the considered delayed neural network to have a unique equilibrium point, which is globally asymptotically stable. Numerical examples are given to show the less conservatism and effectiveness of the proposed stability conditions.