Static output feedback stabilization for fractional-order systems in T-S fuzzy models

Chong Lin; Bing Chen; Qing Guo Wang

doi:10.1016/j.neucom.2016.08.085

Static output feedback stabilization for fractional-order systems in T-S fuzzy models

Chong Lin, Bing Chen, Qing Guo Wang

Electrical and Electronic Engineering Science

Qingdao University

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

63 Citations (Scopus)

Abstract

This paper investigates the stabilization problem of fractional-order Takagi-Sugeno (T-S) fuzzy systems via static output feedback control. It provides a direct linear matrix inequality method for the control design, which overcomes the drawback of two-step design approaches and avoids requiring special structures in design matrices. The present method serves as an important alternative for both fractional-order and integer-order systems, and illustrative examples show the merits of the delivered results.

Original language	English
Pages (from-to)	354-358
Number of pages	5
Journal	Neurocomputing
Volume	218
DOIs	https://doi.org/10.1016/j.neucom.2016.08.085
Publication status	Published - 19 Dec 2016

Keywords

Fractional-order systems
Stabilization
Static output feedback
T-S fuzzy systems

ASJC Scopus subject areas

Computer Science Applications
Cognitive Neuroscience
Artificial Intelligence

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10.1016/j.neucom.2016.08.085

Cite this

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title = "Static output feedback stabilization for fractional-order systems in T-S fuzzy models",

abstract = "This paper investigates the stabilization problem of fractional-order Takagi-Sugeno (T-S) fuzzy systems via static output feedback control. It provides a direct linear matrix inequality method for the control design, which overcomes the drawback of two-step design approaches and avoids requiring special structures in design matrices. The present method serves as an important alternative for both fractional-order and integer-order systems, and illustrative examples show the merits of the delivered results.",

keywords = "Fractional-order systems, Stabilization, Static output feedback, T-S fuzzy systems",

author = "Chong Lin and Bing Chen and Wang, \{Qing Guo\}",

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AU - Lin, Chong

AU - Chen, Bing

AU - Wang, Qing Guo

PY - 2016/12/19

Y1 - 2016/12/19

N2 - This paper investigates the stabilization problem of fractional-order Takagi-Sugeno (T-S) fuzzy systems via static output feedback control. It provides a direct linear matrix inequality method for the control design, which overcomes the drawback of two-step design approaches and avoids requiring special structures in design matrices. The present method serves as an important alternative for both fractional-order and integer-order systems, and illustrative examples show the merits of the delivered results.

AB - This paper investigates the stabilization problem of fractional-order Takagi-Sugeno (T-S) fuzzy systems via static output feedback control. It provides a direct linear matrix inequality method for the control design, which overcomes the drawback of two-step design approaches and avoids requiring special structures in design matrices. The present method serves as an important alternative for both fractional-order and integer-order systems, and illustrative examples show the merits of the delivered results.

KW - Fractional-order systems

KW - Stabilization

KW - Static output feedback

KW - T-S fuzzy systems

UR - https://www.scopus.com/pages/publications/84994102645

U2 - 10.1016/j.neucom.2016.08.085

DO - 10.1016/j.neucom.2016.08.085

M3 - Article

AN - SCOPUS:84994102645

SN - 0925-2312

VL - 218

SP - 354

EP - 358

JO - Neurocomputing

JF - Neurocomputing

ER -

Static output feedback stabilization for fractional-order systems in T-S fuzzy models

Abstract

Keywords

ASJC Scopus subject areas

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