Title
Nonfragile Retarded Sampled-Data Switched Control of T–S Fuzzy Systems and Its Applications
Abstract
This article investigates the nonfragile retarded fuzzy sampled-data control design of Takagi–Sugeno (T–S) fuzzy system. When compared to the traditional sampled-data control scheme, a constant signal transmission delay is involved with uncertainties in control gain parameters, which exploited for the first time to tackle the stabilization analysis of the closed-loop T–S fuzzy systems based on the switched control idea. By constructing a fuzzy membership function (FMF)-dependent Lyapunov–Krasovskii functional (LKF) and utilizing the time-derivative information of the FMF, the sufficient conditions are carried out in terms of linear matrix inequalities (LMIs) such that the resultant T–S fuzzy systems can achieve the globally asymptotically stable under the designed control. Then, the desired control gain is determined by solving the obtained LMIs. Finally, the numerical simulations are demonstrated to show the advantage and applicability of the derived sufficient conditions.
Year
DOI
Venue
2020
10.1109/TFUZZ.2019.2940432
IEEE Transactions on Fuzzy Systems
Keywords
DocType
Volume
Fuzzy systems,Symmetric matrices,Switches,Stability analysis,Linear matrix inequalities,Delays
Journal
28
Issue
ISSN
Citations 
10
1063-6706
5
PageRank 
References 
Authors
0.41
16
2
Name
Order
Citations
PageRank
Subramanian Kuppusamy1112.17
Young Hoon Joo273876.87