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|Title:||Stochastic synchronization of Markovian jump neural networks with time-varying delay using sampled data|
|Citation:||IEEE Transactions on Cybernetics, 2013; 43(6):1796-1806|
|Zheng-Guang Wu, Peng Shi, Hongye Su, and Jian Chu|
|Abstract:||In this paper, the problem of sampled-data synchronization for Markovian jump neural networks with time-varying delay and variable samplings is considered. In the framework of the input delay approach and the linear matrix inequality technique, two delay-dependent criteria are derived to ensure the stochastic stability of the error systems, and thus, the master systems stochastically synchronize with the slave systems. The desired mode-independent controller is designed, which depends upon the maximum sampling interval. The effectiveness and potential of the obtained results is verified by two simulation examples.|
|Keywords:||Models, Statistical; Markov Chains; Stochastic Processes; Sample Size; Algorithms; Neural Networks (Computer); Computer Simulation; Signal Processing, Computer-Assisted|
|Rights:||© 2013 IEEE|
|Appears in Collections:||Electrical and Electronic Engineering publications|
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