Fixed-Time Synchronization for Fuzzy-Based Impulsive Complex Networks

Lu Pang, Cheng Hu, Juan Yu and Haijun Jiang
Additional contact information
Lu Pang: College of Mathematics and System Sciences, Xinjiang University, Urumqi 830017, China
Cheng Hu: College of Mathematics and System Sciences, Xinjiang University, Urumqi 830017, China
Juan Yu: College of Mathematics and System Sciences, Xinjiang University, Urumqi 830017, China
Haijun Jiang: College of Mathematics and System Sciences, Xinjiang University, Urumqi 830017, China

Mathematics, 2022, vol. 10, issue 9, 1-16

Abstract: This paper mainly deals with the issue of fixed-time synchronization of fuzzy-based impulsive complex networks. By developing fixed-time stability of impulsive systems and proposing a T-S fuzzy control strategy with pure power-law form, some simple criteria are acquired to achieve fixed-time synchronization of fuzzy-based impulsive complex networks and the estimation of the synchronized time is given. Ultimately, the presented control scheme and synchronization criteria are verified by numerical simulation.

Keywords: fixed-time synchronization; complex network; impulse; T-S fuzzy logic (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/2227-7390/10/9/1533/pdf (application/pdf)
https://www.mdpi.com/2227-7390/10/9/1533/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:10:y:2022:i:9:p:1533-:d:807833

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().