Journal
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
Volume 16, Issue 9, Pages 3786-3791Publisher
ELSEVIER
DOI: 10.1016/j.cnsns.2010.12.027
Keywords
Exponential stability in the mean square; Neutral-type; Mixed time-delays; Markov process
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Funding
- National Natural Science Foundation of China [11072059]
- Specialized Research Fund for the Doctoral Program of Higher Education [20070286003]
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This paper investigates the problem of the global exponential stability for neutral-type impulsive neural networks with mixed delays and Markovian jumping parameters. The mixed delays include discrete and distributed time-delays and the jumping parameters are generated from a continuous time discrete state homogenous Markov process. Based on the Lyapunov functional, a sufficient criterion is derived in terms of linear matrix equality (LMI). (C) 2010 Elsevier B.V. All rights reserved.
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