¹College of Automation, Chongqing University, Chongqing, China
²School of Engineering, University of Guelph, Guelph, Ontario, Canada

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Abstract—This paper develops a novel robust stability criterion for a class of uncertain neutral-type neural networks with discrete interval and distributed time-varying delays. By constructing a general form of Lyapunov- Krasovskii functional, using the linear matrix inequality (LMI) approach and introducing some free-weight matrices, the delay-dependent robust stability criteria are derived in terms of LMI. Number examples are given to illustrate the effectiveness of the proposed method.

Index Terms—Neural networks, Robust stability, Linear matrix inequality, Neutral-type, Lyapunov-krasoviskii functional.

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Cite: Guoquan Liu, Simon X. Yang, Wei Fu, "New Robust Stability of Uncertain Neutral-Type Neural Networks with Discrete Interval and Distributed Time-Varying Delays," Journal of Computers vol. 7, no. 1, pp. 264-271, 2012.