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Neural Computing and Applications
Published in: Neural Computing and Applications 12/2019

21-05-2019 | Original Article

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

Authors: Xiaona Song, Mi Wang, Shuai Song, Zhen Wang

Published in: Neural Computing and Applications | Issue 12/2019

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Abstract

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.
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Metadata
Title
Intermittent pinning synchronization of reaction–diffusion neural networks with multiple spatial diffusion couplings
Authors
Xiaona Song
Mi Wang
Shuai Song
Zhen Wang
Publication date
21-05-2019
Publisher
Springer London
Published in
Neural Computing and Applications / Issue 12/2019
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-019-04254-1

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