Impulsive synchronization schemes of stochastic complex networks with switching topology: average time approach. Academic Article

abstract

• In this paper, a novel impulsive control law is proposed for synchronization of stochastic discrete complex networks with time delays and switching topologies, where average dwell time and average impulsive interval are taken into account. The side effect of time delays is estimated by Lyapunov-Razumikhin technique, which quantitatively gives the upper bound to increase the rate of Lyapunov function. By considering the compensation of decreasing interval, a better impulsive control law is recast in terms of average dwell time and average impulsive interval. Detailed results from a numerical illustrative example are presented and discussed. Finally, some relevant conclusions are drawn.

authors

• Huang, Tingwen

published proceedings

• Neural Netw

author list (cited authors)

• Li, C., Yu, W., & Huang, T.

citation count

• 130

complete list of authors

• Li, Chaojie||Yu, Wenwu||Huang, Tingwen

publication date

• June 2014

publisher

• Elsevier  Publisher

published in

• Neural Networks  Journal

keywords

• Algorithms
• Average Dwell Time
• Average Impulsive Interval
• Impulsive Synchronization
• Neural Networks, Computer
• Stochastic Complex Networks
• Stochastic Processes
• Switching Topology
• Time Factors

PubMed Central ID

• 24657849

Digital Object Identifier (DOI)

• 10.1016/j.neunet.2014.02.013

start page

• 85

end page

• 94

volume

• 54

URL

• http://dx.doi.org/10.1016/j.neunet.2014.02.013