Stability analysis of Markovian jumping impulsive stochastic delayed RDCGNNs with partially known transition probabilities
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Algebra and Number Theory,Analysis
Link
http://link.springer.com/content/pdf/10.1186/s13662-015-0386-x.pdf
Reference34 articles.
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2. Park JH: Further note on global exponential stability of uncertain cellular neural networks with variable delays. Appl. Math. Comput. 2007, 188: 850-854. 10.1016/j.amc.2006.10.036
3. Zhu Q, Cao J: Robust exponential stability of Markovian jump impulsive stochastic Cohen-Grossberg neural networks with mixed time delays. IEEE Trans. Neural Netw. 2010, 21: 1314-1325. 10.1109/TNN.2010.2054108
4. Zhu Q, Cao J: Stability analysis for stochastic neural networks of neutral type with both Markovian jump parameters and mixed time delays. Neurocomputing 2010, 73: 2671-2680. 10.1016/j.neucom.2010.05.002
5. Li Z, Wen C, Soh Y: Analysis and design of impulsive control systems. IEEE Trans. Autom. Control 2001, 46(6):894-897. 10.1109/9.928590
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