Szczegóły publikacji
Opis bibliograficzny
Synchronization of neural networks via periodic self-triggered impulsive control and its application in image encryption / Xuegang Tan, Changcheng Xiang, Jinde Cao, Wenying Xu, Guanghui Wen, Leszek RUTKOWSKI // IEEE Transactions on Cybernetics ; ISSN 2168-2267. — 2022 — vol. 52 no. 8, s. 8246–8257. — Bibliogr. s. 8256, Abstr. — L. Rutkowski - dod. afiliacja: Institute of Computational Intelligence, Częstochowa University of Technology, Częstochowa, Poland; Information Technology Institute, Academy of Social Sciences, Łódź, Poland; Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
Autorzy (6)
- Tan Xuegang
- Xiang Changcheng
- Cao Jinde
- Xu WenYing
- Wen Guanghui
- AGHRutkowski Leszek
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 144536 |
|---|---|
| Data dodania do BaDAP | 2023-01-12 |
| Tekst źródłowy | URL |
| DOI | 10.1109/TCYB.2021.3049858 |
| Rok publikacji | 2022 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | IEEE Transactions on Cybernetics |
Abstract
In this article, a periodic self-triggered impulsive (PSTI) control scheme is proposed to achieve synchronization of neural networks (NNs). Two kinds of impulsive gains with constant and random values are considered, and the corresponding synchronization criteria are obtained based on tools from impulsive control, event-driven control theory, and stability analysis. The designed triggering protocol is simpler, easier to implement, and more flexible compared with some previously reported algorithms as the protocol combines the advantages of the periodic sampling and event-driven control. In addition, the chaotic synchronization of NNs via the presented PSTI sampling is further applied to encrypt images. Several examples are also utilized to illustrate the validity of the presented synchronization algorithm of NNs based on PSTI control and its potential applications in image processing.
