Synchronization of state-switching hopfield-type neural networks: A quantized level set approach

Yaxian Hong, Honghua Bin and Zhenkun Huang

Chaos, Solitons & Fractals, 2019, vol. 129, issue C, 16-24

Abstract: This paper presents the quantized synchronization of state-switching hopfield-type neural networks (SSHNNs) with delays. Due to a quantized controller with saturation, some unified synchronization criterion for SSHNNs with discrete delays and distributed delays are obtained. The quantized adaptive saturation controller (QASC) relies only on the quantized level sets, and hence greatly reduces the control cost and improves the practicability of the SSHNNs synchronization principle. The obtained results are new and improve the existing ones. Finally, numerical examples are given to demonstrate the correctness of our theoretical results.

Keywords: Exponential synchronization; State-switching; Neural networks; Quantized control; Saturation; Delay (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:129:y:2019:i:c:p:16-24

DOI: 10.1016/j.chaos.2019.08.016

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