H∞ Sampled-Data Control for Uncertain Fuzzy Systems under Markovian Jump and FBm
Xiao Xu,
Li Wang,
Zhenbin Du and
Yonggui Kao
Applied Mathematics and Computation, 2023, vol. 451, issue C
Abstract:
This study concerns the sampled-data H∞ control problems of Markovian jump uncertain fuzzy systems constrained by the fractional Brownian motion (fBm). By constructing a piecewise Lyapunov-Krasovskii functional (LKF) and derivating it, sufficient conditions are gained for the stability of the Takagi-Sugeno (T-S) fuzzy systems. Especially, the free-weighting matrix and Newton-Leibniz formula are exploited to relax the conservatism. At last, state curves of three classic practical examples show the rationality of our design.
Keywords: Markovian jump; fBm; sampled-data; H∞ control (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300323001832
Full text for ScienceDirect subscribers only
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:eee:apmaco:v:451:y:2023:i:c:s0096300323001832
DOI: 10.1016/j.amc.2023.128014
Access Statistics for this article
Applied Mathematics and Computation is currently edited by Theodore Simos
More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().