Neural Networks2022,Vol.14811.DOI:10.1016/j.neunet.2021.12.012

Finite-time synchronization of quaternion-valued neural networks with delays: A switching control method without decomposition

Peng, Tao Zhong, Jie Tu, Zhengwen Lu, Jianquan Lou, Jungang
Neural Networks2022,Vol.14811.DOI:10.1016/j.neunet.2021.12.012

Finite-time synchronization of quaternion-valued neural networks with delays: A switching control method without decomposition

Peng, Tao 1Zhong, Jie 2Tu, Zhengwen 3Lu, Jianquan 1Lou, Jungang4
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作者信息

  • 1. Sch Math,Southeast Univ
  • 2. Coll Math & Comp Sci,Zhejiang Normal Univ
  • 3. Sch Math & Stat,Chongqing Three Gorges Univ
  • 4. Sch Informat Engn,Huzhou Univ
  • 折叠

Abstract

Fora class of quaternion-valued neural networks (QVNNs) with discrete and distributed time delays, its finite-time synchronization (FTSYN) is addressed in this paper. Instead of decomposition, a direct analytical method named two-step analysis is proposed. That method can always be used to study FTSYN, under either 1-norm or 2-norm of quaternion. Compared with the decomposing method, the two-step method is also suitable for models that are not easily decomposed. Furthermore, a switching controller based on the two-step method is proposed. In addition, two criteria are given to realize the FTSYN of QVNNs. At last, three numerical examples illustrate the feasibility, effectiveness and practicability of our method.(c) 2021 Elsevier Ltd. All rights reserved.

Key words

Finite-time synchronization/Quaternion-valued neural networks/Time delays/Switching control method without/decomposition/EXPONENTIAL STABILITY/ANTI-SYNCHRONIZATION/SYSTEMS/STABILIZATION/PARAMETERS/DISCRETE

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出版年

2022
Neural Networks

Neural Networks

EISCI
ISSN:0893-6080
被引量18
参考文献量42
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