Journal
NEUROCOMPUTING
Volume 111, Issue -, Pages 81-89Publisher
ELSEVIER
DOI: 10.1016/j.neucom.2012.12.016
Keywords
Neural networks; Delay partitioning approach; Stability; Neutral delay
Categories
Funding
- Yeungnam University
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This paper is concerned with the stability analysis of neutral type neural networks with discrete and distributed delays. Some improved delay-dependent stability results are established by using a delay partitioning approach for the networks. By employing a new type of Lyapunov-Krasovskii functionals, new delay-dependent stability criteria are derived. All the criteria are expressed in terms of linear matrix inequalities (LMIs), which can be solved efficiently by using standard convex optimization algorithms. Finally, numerical examples are given to illustrate the less conservatism of the proposed method. (C) 2013 Elsevier B.V. All rights reserved.
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