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      Pulse-Modulated Intermittent Control in Consensus of Multiagent Systems

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          Fast linear iterations for distributed averaging

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            Adaptive Consensus Control for a Class of Nonlinear Multiagent Time-Delay Systems Using Neural Networks

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              Stochastic synchronization of Markovian jump neural networks with time-varying delay using sampled data.

              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.
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                Author and article information

                Journal
                IEEE Transactions on Systems, Man, and Cybernetics: Systems
                IEEE Trans. Syst. Man Cybern, Syst.
                Institute of Electrical and Electronics Engineers (IEEE)
                2168-2216
                2168-2232
                May 2017
                May 2017
                : 47
                : 5
                : 783-793
                Article
                10.1109/TSMC.2016.2524063
                f9bdcba6-c278-44ed-b078-32928682bb3b
                © 2017
                History

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