2021
DOI: 10.15388/namc.2021.26.23060
|View full text |Cite
|
Sign up to set email alerts
|

Fast fixed-time synchronization of T–S fuzzy complex networks

Abstract: In this paper, fast fixed-time (FDT) synchronization of T–S fuzzy (TSF) complex networks (CNs) is considered. The given control schemes can make the CNs synchronize with the given isolated system more fleetly than the most of existing results. By constructing comparison system and applying new analytical techniques, sufficient conditions are established to derive fast FDT synchronization speedily. In order to give some comparisons, FDT synchronization of the considered CNs is also presented by designing FDT fu… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
1
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(1 citation statement)
references
References 39 publications
0
1
0
Order By: Relevance
“…Thus, T-S fuzzy systems (TSFSs) can be addressed by typical methodologies based upon linear system methods [10]. TSFS based methods play a significant role in stability and performance analysis, controller design, and observer design for nonlinear systems, see [38,21,37,36,25] and the references cited therein for example. Recently, T-S fuzzy modeling methods and fuzzy model based control techniques have been extended to nonlinear 2-D systems in [22,26].…”
mentioning
confidence: 99%
“…Thus, T-S fuzzy systems (TSFSs) can be addressed by typical methodologies based upon linear system methods [10]. TSFS based methods play a significant role in stability and performance analysis, controller design, and observer design for nonlinear systems, see [38,21,37,36,25] and the references cited therein for example. Recently, T-S fuzzy modeling methods and fuzzy model based control techniques have been extended to nonlinear 2-D systems in [22,26].…”
mentioning
confidence: 99%