General decay projective synchronization of drive-response reaction-diffusion memristive neural networks
Zhao, Xin and Huang, Yanli and Wong, Tse Chiu; (2023) General decay projective synchronization of drive-response reaction-diffusion memristive neural networks. In: 2023 IEEE 13th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER) . IEEE, Piscataway, NJ, pp. 1253-1257. ISBN 9798350315196 (https://doi.org/10.1109/cyber59472.2023.10256521)
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Abstract
This paper studies the general decay projective synchronization (GDPS) of a class of drive-response reaction-diffusion memristive neural networks (RDMNNs). Firstly, a suitable controller is designed, which does not ask for any knowledge about the activation functions. Then we investigate the GDPS of drive-response RDMNNs by constructing a suitable Lyapunov functional, and an adequate condition for guaranteeing the GDPS of this type of network is inferred. Lastly, the validity of the result is demonstrated by one numerical example with simulation results.
ORCID iDs
Zhao, Xin, Huang, Yanli and Wong, Tse Chiu ORCID: https://orcid.org/0000-0001-8942-1984;-
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Item type: Book Section ID code: 86916 Dates: DateEvent28 September 2023Published10 July 2023AcceptedSubjects: Technology > Manufactures Department: Faculty of Engineering > Design, Manufacture and Engineering Management Depositing user: Pure Administrator Date deposited: 11 Oct 2023 10:40 Last modified: 11 Nov 2024 15:34 URI: https://strathprints.strath.ac.uk/id/eprint/86916