Szczegóły publikacji
Opis bibliograficzny
Event-triggered synchronization of multiple discrete-time Markovian jump memristor- based neural networks with mixed mode-dependent delays / Huiyuan Li, Jian-An Fang, Xiaofan Li, Leszek RUTKOWSKI, Tingwen Huang // IEEE Transactions on Circuits and Systems. I, Regular Papers ; ISSN 1549-8328. — 2022 — vol. 69 no. 5, s. 2095–2107. — Bibliogr. s. 2106–2107, Abstr. — L. Rutkowski - dod. afiliacja: Information Technology Institute, University of Social Sciences, Łódź, Poland; Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland
Autorzy (5)
- Li Huiyuan
- Fang Jian-An
- Li Xiaofan
- AGHRutkowski Leszek
- Huang Tingwen
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 144546 |
|---|---|
| Data dodania do BaDAP | 2023-01-12 |
| Tekst źródłowy | URL |
| DOI | 10.1109/TCSI.2022.3149535 |
| Rok publikacji | 2022 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | IEEE Transactions on Circuits and Systems, I, Regular Papers |
Abstract
This paper deals with global synchronization problem of multiple discrete-time Markovian jump memristor-based neural networks (DTMJMNNs) with mixed mode-dependent delays via a novel event-triggered impulsive coupling control (ETICC). The parameters of the multiple DTMJMNNs and the mixed time delays (both discrete and distributed delays) switch randomly according to a Markov chain. In the ETICC strategy, the controller does not work all the time, but only works at impulse instants determined by specific events. In particular, the coupling matrix can be non-Laplacian. By using the Lyapunov stability theory, linear matrix inequalities (LMIs), and the Kronecker product, some sufficient conditions for global synchronization of multiple DTMJMNNs under the event-triggered strategy are derived. Two examples are presented to test the validity of the theoretical analysis results.
