State feedback stabilization for neutral-type neural networks with time-varying discrete and unbounded distributed delays

Authors:
Yantao Wang;Xue Lin;Xian Zhang
Affiliations:
School of Mathematical Science, Heilongjiang University, Harbin, China;School of Mathematical Science, Heilongjiang University, Harbin, China;School of Mathematical Science, Heilongjiang University, Harbin, China
Venue:
Journal of Control Science and Engineering
Year:
2012

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Abstract

The problem of stabilization for a class of neutral-type neural networks with discrete and unbounded distributed delays is investigated. By introducing an appropriate Lyapunov-Krasovskii functional and using Jensen inequality technique to deal with its derivative, delay-range-dependent and rate-dependent stabilization criteria are presented in the form of LMIs with nonlinear constraints. In order to solve the nonlinear problem, a cone complementarity linearization (CCL) algorithm is offered. In addition, several numerical examples are provided to illustrate the applicability of the proposed approach.