A Degree-Dependent Polynomial-Based Reciprocally Convex Matrix Inequality and Its Application to Stability Analysis of Delayed Neural Networks.

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Bibliographic Details
Title: A Degree-Dependent Polynomial-Based Reciprocally Convex Matrix Inequality and Its Application to Stability Analysis of Delayed Neural Networks.
Authors: Wang CR, Long F, Xie KY, Wang HT, Zhang CK, He Y
Source: IEEE transactions on cybernetics [IEEE Trans Cybern] 2024 Jul; Vol. 54 (7), pp. 4164-4176. Date of Electronic Publication: 2024 Jul 11.
Publication Type: Journal Article
Journal Info: Publisher: Institute of Electrical and Electronics Engineers Country of Publication: United States NLM ID: 101609393 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2168-2275 (Electronic) Linking ISSN: 21682267 NLM ISO Abbreviation: IEEE Trans Cybern Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2168-2275
DOI:10.1109/TCYB.2024.3365709