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Mathematical Methods in the Applied Sciences
Article . 2022 . Peer-reviewed
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Article . 2022
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Output fixed‐time synchronization of discontinuous coupled neural networks with multiple output couplings

Output fixed-time synchronization of discontinuous coupled neural networks with multiple output couplings
Authors: Ruoyu Wei; Jinde Cao; Peiyong Duan; Sergey Gorbachev;

Output fixed‐time synchronization of discontinuous coupled neural networks with multiple output couplings

Abstract

This paper is concerned with the output fixed‐time synchronization of coupled neural networks (CNNs) with multiple output couplings. Two types of network model are considered: the CNNs with coupling delays and the CNNs without coupling delays. In addition, discontinuous activation is taken into account so that the model is more general. Then, by employing a new type of fixed‐time control lemma, two flexible control strategies are designed to realize the output fixed‐time synchronization of the multiweighted CNNs, and less conservative criteria are obtained. Moreover, the settling time can be estimated with more accuracy than most existing literature. Lastly, two simulations are designed to testify the correctness of the proposed theorems.

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Keywords

задержка сети, coupling delays, output fixed-time synchronization, Finite-time stability, discontinuous activations, Networked control, CNNs, нейронные сети, выходная синхронизация с фиксированным временем, multiple output coupling

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green