Synchronization of coupled reaction-diffusion neural networks: Delay-dependent pinning impulsive control
dc.contributor.author | Xie, X. | |
dc.contributor.author | Liu, X. | |
dc.contributor.author | Xu, Honglei | |
dc.contributor.author | Luo, X. | |
dc.contributor.author | Liu, G. | |
dc.date.accessioned | 2023-03-14T08:29:06Z | |
dc.date.available | 2023-03-14T08:29:06Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Xie, X. and Liu, X. and Xu, H. and Luo, X. and Liu, G. 2019. Synchronization of coupled reaction-diffusion neural networks: Delay-dependent pinning impulsive control. Communications in Nonlinear Science and Numerical Simulation. 79: ARTN 104905. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/90972 | |
dc.identifier.doi | 10.1016/j.cnsns.2019.104905 | |
dc.description.abstract |
This paper studies the synchronization problem of coupled reaction-diffusion neural networks with time-varying delays. A novel pinning impulsive controller is proposed, where distributed delays and discrete delays are taken into account, respectively. By using the Lyapunov–Krasovskii method, the relations among impulsive gains, pinned node numbers, impulsive intervals, impulsive instants and time delays are derived. Exponential synchronization criteria are established for the delayed coupled reaction-diffusion neural networks. Our results show that synchronization of the neural networks can be achieved by controlling a small portion of nodes in the networks via delayed impulses. Numerical examples are provided to demonstrate the effectiveness of the theoretical results. | |
dc.language | English | |
dc.publisher | ELSEVIER | |
dc.relation.sponsoredby | http://purl.org/au-research/grants/arc/DP160102819 | |
dc.subject | Science & Technology | |
dc.subject | Physical Sciences | |
dc.subject | Technology | |
dc.subject | Mathematics, Applied | |
dc.subject | Mathematics, Interdisciplinary Applications | |
dc.subject | Mechanics | |
dc.subject | Physics, Fluids & Plasmas | |
dc.subject | Physics, Mathematical | |
dc.subject | Mathematics | |
dc.subject | Physics | |
dc.subject | Impulsive control | |
dc.subject | Neural network | |
dc.subject | Pinning control | |
dc.subject | Reaction-diffusion | |
dc.subject | TIME-VARYING DELAY | |
dc.subject | SAMPLED-DATA SYNCHRONIZATION | |
dc.subject | EXPONENTIAL STABILITY | |
dc.subject | DYNAMICAL NETWORKS | |
dc.subject | SYSTEMS | |
dc.subject | STABILIZATION | |
dc.title | Synchronization of coupled reaction-diffusion neural networks: Delay-dependent pinning impulsive control | |
dc.type | Journal Article | |
dcterms.source.volume | 79 | |
dcterms.source.issn | 1007-5704 | |
dcterms.source.title | Communications in Nonlinear Science and Numerical Simulation | |
dc.date.updated | 2023-03-14T08:29:05Z | |
curtin.department | School of Elec Eng, Comp and Math Sci (EECMS) | |
curtin.accessStatus | Fulltext not available | |
curtin.faculty | Faculty of Science and Engineering | |
curtin.contributor.orcid | Xu, Honglei [0000-0003-3212-2080] | |
curtin.contributor.researcherid | Xu, Honglei [A-1307-2010] | |
curtin.identifier.article-number | ARTN 104905 | |
dcterms.source.eissn | 1878-7274 | |
curtin.contributor.scopusauthorid | Xu, Honglei [23037699600] [57203334243] [57203334253] | |
curtin.repositoryagreement | V3 |
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