Finite-time synchronization of clifford-valued neural networks with infinite distributed delays and impulses Boonsatit, N, Sriraman, R, Rojsiraphisal, T, Lim, Chee Peng, Hammachukiattikul, P and Rajchakit, G 2021, Finite-time synchronization of clifford-valued neural networks with infinite distributed delays and impulses, IEEE Access, vol. 9, pp. 111050-111061, doi: 10.1109/ACCESS.2021.3102585. Title Finite-time synchronization of clifford-valued neural networks with infinite distributed delays and impulses Author(s) Boonsatit, N Sriraman, R Rojsiraphisal, T Lim, Chee Peng orcid.org/0000-0003-4191-9083 Hammachukiattikul, P Rajchakit, G Journal name IEEE Access Volume number 9 Start page 111050 End page 111061 Total pages 12 Publisher IEEE Place of publication Piscataway, N.J. Publication date 2021 ISSN 2169-3536 2169-3536 Keyword(s) Clifford-valued neural networks Computer Science Computer Science, Information Systems DEPENDENT STABILITY ANALYSIS DISCRETE Engineering Engineering, Electrical & Electronic finite-time synchronization infinite distributed delay Lyapunov-Krasovskii fractional Science & Technology Technology Telecommunications Language eng DOI 10.1109/ACCESS.2021.3102585 Field of Research 08 Information and Computing Sciences 09 Engineering 10 Technology HERDC Research category C1 Refereed article in a scholarly journal Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30154640 Document type: Journal Article Collections: Institute for Intelligent Systems Research and Innovation (IISRI) Open Access Collection GTP Research Related Links Link Description Link to full-text (open access)   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Fri, 20 Aug 2021, 08:30:32 EST Wed, 01 Sep 2021, 11:12:38 EST Sat, 18 Sep 2021, 02:33:07 EST Sun, 03 Jul 2022, 06:02:12 EST Wed, 06 Jul 2022, 13:19:54 EST Wed, 06 Jul 2022, 15:27:46 EST Wed, 06 Jul 2022, 15:33:31 EST Filtered Full Citation counts:   Cited 4 times in TR Web of Science Cited 3 times in Scopus Search Google Scholar Access Statistics: 13 Abstract Views  -  Detailed Statistics Created: Fri, 20 Aug 2021, 08:30:32 EST