A global exponential robust stability criterion for interval delayed neural networks with variable delays

Authors:
Chuandong Li;Xiaofeng Liao;Rong Zhang
Affiliations:
College of Computer Science and Engineering, Chongqing University, 400030, PR China;College of Computer Science and Engineering, Chongqing University, 400030, PR China;College of Economics and Business Administration, Chongqing University, 400030, PR China
Venue:
Neurocomputing
Year:
2006

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Abstract

The issue of exponential robust stability for interval delayed neural networks with variable delays is studied. An approach combining the Lyapunov-Krasovskii functional with the differential inequality and linear matrix inequality techniques is taken to investigate this problem. The proposed criterion for exponential stability generalizes and improves those reported recently in the literature. Two numerical examples are also presented to illustrate our results.