Journal
NEUROCOMPUTING
Volume 73, Issue 13-15, Pages 2689-2695Publisher
ELSEVIER
DOI: 10.1016/j.neucom.2010.04.016
Keywords
Neutral-type neural networks (NNNs); Delay-dependent criteria; Stochastic stability; Impulsive; Markovian jumping; Time-varying delay
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Funding
- National Natural Science Foundation of China [50977008, 60774048, 60821063]
- Start-up Fund of Doctor of Liaoning, China [20081020]
- National Basic Research Program of China [200903320601]
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In this paper, the stochastic stability problem of neutral-type impulsive neural networks (NINNs) with mixed time-varying delays and Markovian jumping is investigated. By utilizing the Lyapunov-Krasovkii functional approach and linear matrix inequality (LMI) technique, we obtain some novel globally exponentially stable results. Delay-dependent sufficient condition for the above problem is obtained, which is usually less conservative than delay-independent ones. An example is given to show the effectiveness of the obtained results. (C) 2010 Elsevier B.V. All rights reserved.
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