State Feedback Stabilization for Neutral-Type Neural Networks with Time-Varying Discrete and Unbounded Distributed Delays
Keyword(s):
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.
2012 ◽
Vol 34
(5)
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pp. 590-607
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2013 ◽
Vol 43
(1)
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pp. 102-114
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2013 ◽
Vol 350
(5)
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pp. 966-989
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Keyword(s):
2019 ◽
Vol 32
(3)
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pp. 503-513
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