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Erschienen in: Neural Processing Letters 3/2022

06.01.2022

Fixed-Time Synchronization of Neural Networks with Parameter Uncertainties via Quantized Intermittent Control

verfasst von: Wenqiang Yang, Junjian Huang, Xin Wang

Erschienen in: Neural Processing Letters | Ausgabe 3/2022

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Abstract

In this paper, we study the fixed-time synchronization (FIXTS) of neural networks (NNs) with parameter uncertainties via quantized intermittent control. Based on the intermittent control strategy and quantitative control theory, sufficient conditions are established to achieve synchronization of NNs and the synchronization time can be estimated. In addition, this paper also considers the synchronization of NNs under different situations. Finally, a simulation example is given to verify the correctness of the proposed theory.
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Metadaten
Titel
Fixed-Time Synchronization of Neural Networks with Parameter Uncertainties via Quantized Intermittent Control
verfasst von
Wenqiang Yang
Junjian Huang
Xin Wang
Publikationsdatum
06.01.2022
Verlag
Springer US
Erschienen in
Neural Processing Letters / Ausgabe 3/2022
Print ISSN: 1370-4621
Elektronische ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-021-10731-3

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