Robust passivity of coupled Cohen-Grossberg neural networks with reaction-diffusion terms
Huang, Yanli and Wang, Jianming and Yang, Erfu; (2019) Robust passivity of coupled Cohen-Grossberg neural networks with reaction-diffusion terms. In: 2019 25th International Conference on Automation and Computing (ICAC). Institute of Electrical and Electronics Engineers Inc., GBR. ISBN 978-1-8613-7665-7 (https://doi.org/10.23919/IConAC.2019.8895142)
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Abstract
In this paper, we deal with the robust passivity problem for coupled reaction-diffusion Cohen-Grossberg neural networks (CRDCGNNs) with spatial diffusion coupling and state coupling. First, we present the network model for CRDCGNNs with state coupling and establish some robust passivity conditions for this kind of CRDCGNNs. Then, the investigation on robust passivity for CRDCGNNs with spatial diffusion coupling is carried out similarly. At last, the feasibility of the obtained theoretical results is demonstrated by one example with simulation results.
ORCID iDs
Huang, Yanli, Wang, Jianming and Yang, Erfu ORCID: https://orcid.org/0000-0003-1813-5950;-
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Item type: Book Section ID code: 72114 Dates: DateEvent11 November 2019PublishedNotes: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Subjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Design, Manufacture and Engineering Management
Faculty of Humanities and Social Sciences (HaSS) > Psychological Sciences and HealthDepositing user: Pure Administrator Date deposited: 21 Apr 2020 10:34 Last modified: 16 Nov 2024 01:32 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/72114