Wu, Z.Shi, P.Su, H.Chu, J.2014-02-032014-02-032013IEEE Transactions on Cybernetics, 2013; 43(6):1796-18062168-22672168-2275http://hdl.handle.net/2440/81858In 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.en© 2013 IEEEModels, StatisticalMarkov ChainsStochastic ProcessesSample SizeAlgorithmsComputer SimulationSignal Processing, Computer-AssistedNeural Networks, ComputerJournal article002013411610.1109/TSMCB.2012.22304410003276475000242-s2.0-8487977995716752Shi, P. [0000-0001-6295-0405] [0000-0001-8218-586X] [0000-0002-0864-552X] [0000-0002-1358-2367] [0000-0002-5312-5435]