Journal
APPLIED MATHEMATICS AND COMPUTATION
Volume 218, Issue 9, Pages 5769-5781Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.amc.2011.11.087
Keywords
Stochastic stability; Markovian jumping neural networks; Time-varying delays
Categories
Funding
- demonstration project of oil and gas development for carbonate reservoirs in Tarim basin [2011ZX05049]
- National Basic Research Program of China [2010CB732501]
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In this paper, the problem of stochastic stability criterion of Markovian jumping neural networks with mode-dependent time-varying delays and partially known transition rates is considered. Some new delay-dependent stability criteria are derived by choosing a new class of Lyapunov functional. The obtained criteria are less conservative because free-weighting matrices method and a convex optimization approach are considered. Finally, a numerical example is given to illustrate the effectiveness of the proposed method. (C) 2011 Elsevier Inc. All rights reserved.
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