Intermittent pinning synchronization of reaction-diffusion neural networks with multiple spatial diffusion couplings

被引:19
作者
Song, Xiaona [1 ]
Wang, Mi [1 ]
Song, Shuai [2 ]
Wang, Zhen [3 ]
机构
[1] Henan Univ Sci & Technol, Sch Informat Engn, Luoyang 471023, Peoples R China
[2] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Jiangsu, Peoples R China
[3] Shandong Univ Sci & Technol, Coll Math & Syst Sci, Qingdao 266590, Shandong, Peoples R China
基金
中国国家自然科学基金;
关键词
Intermittent control; Pinning synchronization; Reaction-diffusion neural networks; Spatial diffusion coupling; TIME-VARYING DELAYS; COMPLEX DYNAMICAL NETWORKS; EXPONENTIAL SYNCHRONIZATION; STOCHASTIC PERTURBATION; MULTIAGENT SYSTEMS; MIXED DELAYS; STABILITY; ALGORITHM; CONSENSUS; CRITERIA;
D O I
10.1007/s00521-019-04254-1
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper addresses the intermittent pinning synchronization problem of spatial diffusion coupled reaction-diffusion neural networks (RDNNs). Initially, the synchronization error signals are quantized before transmission to save both channel resource and control cost. Subsequently, utilizing intermittent pinning control scheme, only a small fraction of network nodes are selected to be controlled in various time periods, which further reduces the control cost. On the basis of the constructed controller, sufficient conditions that guarantee the synchronization of the coupled RDNNs are derived via Lyapunov direct method. Finally, the efficacy of the developed control approach is demonstrated by numerical simulation studies of three examples.
引用
收藏
页码:9279 / 9294
页数:16
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