H∞ filter design of networked nonlinear systems with communication constraints via T-S fuzzy dynamic models

Fei Han; Gang Feng; Yong Wang

H_∞ filter design of networked nonlinear systems with communication constraints via T-S fuzzy dynamic models

Fei Han
, Gang Feng
, Yong Wang

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

3 Citations (Scopus)

Abstract

This paper considers the problem of H_∞ filter design for networked nonlinear systems under unreliable communication links with packet dropouts, network-induced delays and quantization, which are three typical network constraints of unreliable transmission. The nonlinear plant in this paper is described by a Takagi-Sugeno (T-S) fuzzy model, and the three important network constraints are treated in a unified framework. A piecewise filter is designed so that the resulting error system is asymptotically stable with guaranteed H_∞ performance. Finally, a numerical examples is given to illustrate the procedure of the proposed approach and the filtering performance. © 2013 AACC American Automatic Control Council.

Original language	English
Title of host publication	Proceedings of the American Control Conference
Pages	6406-6411
Publication status	Published - 2013
Event	2013 American Control Conference (ACC 2013) - Renaissance Washington, DC Downtown Hotel, Washington, DC, United States Duration: 17 Jun 2013 → 19 Jun 2013 Conference number: 1st https://acc2013.a2c2.org/

Publication series

Name
ISSN (Print)	0743-1619

Conference

Conference	2013 American Control Conference (ACC 2013)
Place	United States
City	Washington, DC
Period	17/06/13 → 19/06/13
Internet address	https://acc2013.a2c2.org/

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title = "H∞ filter design of networked nonlinear systems with communication constraints via T-S fuzzy dynamic models",

abstract = "This paper considers the problem of H∞ filter design for networked nonlinear systems under unreliable communication links with packet dropouts, network-induced delays and quantization, which are three typical network constraints of unreliable transmission. The nonlinear plant in this paper is described by a Takagi-Sugeno (T-S) fuzzy model, and the three important network constraints are treated in a unified framework. A piecewise filter is designed so that the resulting error system is asymptotically stable with guaranteed H∞ performance. Finally, a numerical examples is given to illustrate the procedure of the proposed approach and the filtering performance. {\textcopyright} 2013 AACC American Automatic Control Council.",

author = "Fei Han and Gang Feng and Yong Wang",

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H_∞ filter design of networked nonlinear systems with communication constraints via T-S fuzzy dynamic models. / Han, Fei; Feng, Gang; Wang, Yong.
Proceedings of the American Control Conference. 2013. p. 6406-6411 6580843.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

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AU - Han, Fei

AU - Feng, Gang

AU - Wang, Yong

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N2 - This paper considers the problem of H∞ filter design for networked nonlinear systems under unreliable communication links with packet dropouts, network-induced delays and quantization, which are three typical network constraints of unreliable transmission. The nonlinear plant in this paper is described by a Takagi-Sugeno (T-S) fuzzy model, and the three important network constraints are treated in a unified framework. A piecewise filter is designed so that the resulting error system is asymptotically stable with guaranteed H∞ performance. Finally, a numerical examples is given to illustrate the procedure of the proposed approach and the filtering performance. © 2013 AACC American Automatic Control Council.

AB - This paper considers the problem of H∞ filter design for networked nonlinear systems under unreliable communication links with packet dropouts, network-induced delays and quantization, which are three typical network constraints of unreliable transmission. The nonlinear plant in this paper is described by a Takagi-Sugeno (T-S) fuzzy model, and the three important network constraints are treated in a unified framework. A piecewise filter is designed so that the resulting error system is asymptotically stable with guaranteed H∞ performance. Finally, a numerical examples is given to illustrate the procedure of the proposed approach and the filtering performance. © 2013 AACC American Automatic Control Council.

UR - https://www.scopus.com/pages/publications/84883523876

UR - https://www.scopus.com/pages/publications/84883523876#tab=impact

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781479901777

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BT - Proceedings of the American Control Conference

T2 - 2013 American Control Conference (ACC 2013)

Y2 - 17 June 2013 through 19 June 2013

ER -