Pinning exponential synchronisation and passivity of coupled delayed reaction–diffusion neural networks with and without parametric uncertainties
作者： Yan-Li Huang , Shu-Xue Wang , Shun-Yan Ren
DOI: 10.1080/00207179.2017.1384575
关键词: Exponential function 、 Passivity 、 Nonlinear system 、 Parametric statistics 、 Engineering 、 Coupling 、 Artificial neural network 、 Diffusion (business) 、 Focus (optics) 、 Control theory
摘要: ABSTRACTIn this paper, we focus on the pinning exponential synchronization and passivity of coupled reaction-diffusion neural networks (CRDNNs) with without parametric uncertainties, respectively. On one hand, help designed nonlinear controllers Lyapunov functional method, sufficient conditions are established to let CRDNNs hybrid coupling mixed time-varying delays realize passivity. other considering that external perturbations may lead (RDNNs) parameters containing robust for delayed RDNNs uncertainties investigated by designing appropriate control strategies. Finally, effectiveness theoretical results substantiated two given numerical examples.
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