{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,6]],"date-time":"2026-01-06T05:25:25Z","timestamp":1767677125932,"version":"build-2065373602"},"reference-count":51,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2024,1,7]],"date-time":"2024-01-07T00:00:00Z","timestamp":1704585600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Axioms"],"abstract":"<jats:p>This article investigates finite-time passivity for fuzzy inertial complex-valued neural networks (FICVNNs) with time-varying delays. First, by using the existing passivity theory, several related definitions of finite-time passivity are illustrated. Consequently, by adopting a reduced-order method and dividing complex-valued parameters into real and imaginary parts, the proposed FICVNNs are turned into first-order real-valued neural network systems. Moreover, appropriate controllers and the Lyapunov functional method are established to obtain the finite-time passivity of FICVNNs with time delays. Furthermore, some essential conditions are established to ensure finite-time synchronization for finite-time passive FICVNNs. In the end, corresponding simulations certify the feasibility of the proposed theoretical outcomes.<\/jats:p>","DOI":"10.3390\/axioms13010039","type":"journal-article","created":{"date-parts":[[2024,1,8]],"date-time":"2024-01-08T06:12:58Z","timestamp":1704694378000},"page":"39","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Finite-Time Passivity and Synchronization for a Class of Fuzzy Inertial Complex-Valued Neural Networks with Time-Varying Delays"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6463-8041","authenticated-orcid":false,"given":"Jing","family":"Han","sequence":"first","affiliation":[{"name":"School of Information Engineering, Wuhan Business University, Wuhan 430056, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2024,1,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"107404","DOI":"10.1016\/j.knosys.2021.107404","article-title":"Mittag-Leffler synchronization and stability analysis for neural networks in the fractional-order multi-dimension field","volume":"231","author":"Xiao","year":"2021","journal-title":"Knowl.-Based Syst."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"101408","DOI":"10.1016\/j.nahs.2023.101408","article-title":"A novel control system for synchronizing chaotic systems in the presence of communication channel time delay; case study of Genesio-Tesi and Coullet systems","volume":"50","author":"Soltani","year":"2023","journal-title":"Nonlinear Anal. 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