Adaptive Asymptotical Synchronization for Stochastic Complex Networks with Time-Delay and Markovian Switching

XueLing Jiang; Shuijie Qin; Dongbing Tong; Li Wang

doi:10.1155/2014/564058

Adaptive Asymptotical Synchronization for Stochastic Complex Networks with Time-Delay and Markovian Switching

XueLing Jiang, Shuijie Qin, Dongbing Tong, Li Wang

Research output: Contribution to journal › Article › peer-review

Abstract

The problem of adaptive asymptotical synchronization is discussed for the stochastic complex dynamical networks with time-delay and Markovian switching. By applying the stochastic analysis approach and the M-matrix method for stochastic complex networks, several sufficient conditions to ensure adaptive asymptotical synchronization for stochastic complex networks are derived. Through the adaptive feedback control techniques, some suitable parameters update laws are obtained. Simulation result is provided to substantiate the effectiveness and characteristics of the proposed approach.

Original language	English
Article number	564058
Number of pages	7
Journal	MATHEMATICAL PROBLEMS IN ENGINEERING
Volume	2014
Issue number	Article: 564058
DOIs	https://doi.org/10.1155/2014/564058
Publication status	Published - 2014

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title = "Adaptive Asymptotical Synchronization for Stochastic Complex Networks with Time-Delay and Markovian Switching",

abstract = "The problem of adaptive asymptotical synchronization is discussed for the stochastic complex dynamical networks with time-delay and Markovian switching. By applying the stochastic analysis approach and the M-matrix method for stochastic complex networks, several sufficient conditions to ensure adaptive asymptotical synchronization for stochastic complex networks are derived. Through the adaptive feedback control techniques, some suitable parameters update laws are obtained. Simulation result is provided to substantiate the effectiveness and characteristics of the proposed approach.",

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AU - Qin, Shuijie

AU - Tong, Dongbing

AU - Wang, Li

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Y1 - 2014

N2 - The problem of adaptive asymptotical synchronization is discussed for the stochastic complex dynamical networks with time-delay and Markovian switching. By applying the stochastic analysis approach and the M-matrix method for stochastic complex networks, several sufficient conditions to ensure adaptive asymptotical synchronization for stochastic complex networks are derived. Through the adaptive feedback control techniques, some suitable parameters update laws are obtained. Simulation result is provided to substantiate the effectiveness and characteristics of the proposed approach.

AB - The problem of adaptive asymptotical synchronization is discussed for the stochastic complex dynamical networks with time-delay and Markovian switching. By applying the stochastic analysis approach and the M-matrix method for stochastic complex networks, several sufficient conditions to ensure adaptive asymptotical synchronization for stochastic complex networks are derived. Through the adaptive feedback control techniques, some suitable parameters update laws are obtained. Simulation result is provided to substantiate the effectiveness and characteristics of the proposed approach.

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