Admissibility analysis for Takagi-Sugeno fuzzy singular systems with time delay

Wenxing Li; Zhiguang Feng; Weichao Sun; Jiawei Zhang

doi:10.1016/j.neucom.2016.04.035

Admissibility analysis for Takagi-Sugeno fuzzy singular systems with time delay

Wenxing Li
, Zhiguang Feng^*
, Weichao Sun
, Jiawei Zhang

^*Corresponding author for this work

School of Astronautics

Research output: Contribution to journal › Article › peer-review

40 Scopus citations

Abstract

The issue of admissibility analysis for Takagi-Sugeno (T-S) fuzzy singular system with time delay is investigated in this paper. By adopting a novel tighter integral inequality, a sufficient delay-dependent criterion is built on the basis of strict linear matrix equalities (LMIs), which guarantees the admissibility of the considered system. A numerical example shows that the proposed method is efficient and less conservative.

Original language	English
Pages (from-to)	336-340
Number of pages	5
Journal	Neurocomputing
Volume	205
DOIs	https://doi.org/10.1016/j.neucom.2016.04.035
State	Published - 12 Sep 2016

Keywords

Admissibility
Singular system
T-S fuzzy
Time delay

Access to Document

10.1016/j.neucom.2016.04.035

Cite this

@article{893b1a053f11401180c30257ea55e435,

title = "Admissibility analysis for Takagi-Sugeno fuzzy singular systems with time delay",

abstract = "The issue of admissibility analysis for Takagi-Sugeno (T-S) fuzzy singular system with time delay is investigated in this paper. By adopting a novel tighter integral inequality, a sufficient delay-dependent criterion is built on the basis of strict linear matrix equalities (LMIs), which guarantees the admissibility of the considered system. A numerical example shows that the proposed method is efficient and less conservative.",

keywords = "Admissibility, Singular system, T-S fuzzy, Time delay",

author = "Wenxing Li and Zhiguang Feng and Weichao Sun and Jiawei Zhang",

note = "Publisher Copyright: {\textcopyright} 2016 Elsevier B.V.",

year = "2016",

month = sep,

day = "12",

doi = "10.1016/j.neucom.2016.04.035",

language = "英语",

volume = "205",

pages = "336--340",

journal = "Neurocomputing",

issn = "0925-2312",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - Admissibility analysis for Takagi-Sugeno fuzzy singular systems with time delay

AU - Li, Wenxing

AU - Feng, Zhiguang

AU - Sun, Weichao

AU - Zhang, Jiawei

PY - 2016/9/12

Y1 - 2016/9/12

N2 - The issue of admissibility analysis for Takagi-Sugeno (T-S) fuzzy singular system with time delay is investigated in this paper. By adopting a novel tighter integral inequality, a sufficient delay-dependent criterion is built on the basis of strict linear matrix equalities (LMIs), which guarantees the admissibility of the considered system. A numerical example shows that the proposed method is efficient and less conservative.

AB - The issue of admissibility analysis for Takagi-Sugeno (T-S) fuzzy singular system with time delay is investigated in this paper. By adopting a novel tighter integral inequality, a sufficient delay-dependent criterion is built on the basis of strict linear matrix equalities (LMIs), which guarantees the admissibility of the considered system. A numerical example shows that the proposed method is efficient and less conservative.

KW - Admissibility

KW - Singular system

KW - T-S fuzzy

KW - Time delay

UR - https://www.scopus.com/pages/publications/84969776966

U2 - 10.1016/j.neucom.2016.04.035

DO - 10.1016/j.neucom.2016.04.035

M3 - 文章

AN - SCOPUS:84969776966

SN - 0925-2312

VL - 205

SP - 336

EP - 340

JO - Neurocomputing

JF - Neurocomputing

ER -

Admissibility analysis for Takagi-Sugeno fuzzy singular systems with time delay

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this