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Impulsive effects on Clifford-valued neural networks with time-varying delays: An asymptotic stability analysis

Rajchakit, G, Sriraman, R, Vignesh, P and Lim, Chee Peng 2021, Impulsive effects on Clifford-valued neural networks with time-varying delays: An asymptotic stability analysis, Applied Mathematics and Computation, vol. 407, pp. 1-18, doi: 10.1016/j.amc.2021.126309.

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Title Impulsive effects on Clifford-valued neural networks with time-varying delays: An asymptotic stability analysis
Author(s) Rajchakit, G
Sriraman, R
Vignesh, P
Lim, Chee PengORCID iD for Lim, Chee Peng orcid.org/0000-0003-4191-9083
Journal name Applied Mathematics and Computation
Volume number 407
Article ID 126309
Start page 1
End page 18
Total pages 18
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2021-10
ISSN 0096-3003
Keyword(s) Science & Technology
Physical Sciences
Mathematics, Applied
Mathematics
Global asymptotic stability
Clifford-valued neural network
Lyapunov fractional
Time-varying delays
Impulsive effects
GLOBAL EXPONENTIAL STABILITY
PERIODIC-SOLUTIONS
SYNCHRONIZATION
DISCRETE
NEURONS
SYSTEMS
MEMORY
Language eng
DOI 10.1016/j.amc.2021.126309
Field of Research 0102 Applied Mathematics
0103 Numerical and Computational Mathematics
0802 Computation Theory and Mathematics
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30151784

Document type: Journal Article
Collections: Institute for Intelligent Systems Research and Innovation (IISRI)
GTP Research
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Citation counts: TR Web of Science Citation Count  Cited 12 times in TR Web of Science
Scopus Citation Count Cited 12 times in Scopus Google Scholar Search Google Scholar
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Created: Fri, 28 May 2021, 09:35:18 EST

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