caa a22 4500 606159282 CHVBK 20210128100624.0 cr unu---uuuuu 210128e20151001xx s 000 0 eng 10.1007/s00521-015-1835-x doi (NATIONALLICENCE)springer-10.1007/s00521-015-1835-x Stochastic synchronization of coupled delayed neural networks with switching topologies via single pinning impulsive control [Elektronische Daten] [Yangling Wang, Jinde Cao, Jianqiang Hu] This paper concerns the global exponential synchronization of coupled neural networks with stochastic perturbations and mixed time-varying delays. To be more practical, we assume that the communication topology arbitrarily switches among a finite set of directed topologies, each of which is only required to have a directed spanning tree. Moreover, we assume that there are impulsive effects in the process of signal exchanging. We will show that all the stochastic dynamical neural networks can achieve exponential synchronization even if only a single impulsive controller is exerted. Some sufficient synchronization criteria are given based on multiple Lyapunov theory. A simple example is presented to show the application of the criteria obtained in this paper. The Natural Computing Applications Forum, 2015 Stochastic synchronization nationallicence Coupled delayed neural networks nationallicence Switching topologies nationallicence Single pinning impulsive control nationallicence Wang Yangling Research Center for Complex Systems and Network Sciences, Department of Mathematics, Southeast University, 210096, Nanjing, China aut Cao Jinde Research Center for Complex Systems and Network Sciences, Department of Mathematics, Southeast University, 210096, Nanjing, China aut Hu Jianqiang School of Automation, Southeast University, 210096, Nanjing, China aut Neural Computing and Applications Springer London 26/7(2015-10-01), 1739-1749 0941-0643 26:7<1739 2015 26 521 https://doi.org/10.1007/s00521-015-1835-x text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00521-015-1835-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Wang Yangling Research Center for Complex Systems and Network Sciences, Department of Mathematics, Southeast University, 210096, Nanjing, China aut NATIONALLICENCE 700 1- Cao Jinde Research Center for Complex Systems and Network Sciences, Department of Mathematics, Southeast University, 210096, Nanjing, China aut NATIONALLICENCE 700 1- Hu Jianqiang School of Automation, Southeast University, 210096, Nanjing, China aut NATIONALLICENCE 773 0- Neural Computing and Applications Springer London 26/7(2015-10-01), 1739-1749 0941-0643 26:7<1739 2015 26 521