H2 Control Design for Fuzzy Dynamic Systems by LMI

Ning Zhang; Gang Feng

doi:10.1109/ICONIP.1999.844683

H₂ Control Design for Fuzzy Dynamic Systems by LMI

Ning Zhang
, Gang Feng

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

Abstract

This paper addresses H₂ control of complex nonlinear systems which can be represented by a fuzzy dynamic model. Based on a Lyapunov function and a piecewise Lyapunov function respectively, two kinds of new control design methods are proposed. It is shown that the closed-loop fuzzy control system is asymptotically stable with a white-noise attenuation. The H₂ controller can be obtained by Linear Matrix Inequalities (LMI) numerical techniques.

Original language	English
Title of host publication	ICONIP'99, 6^th International Conference on Neural Information Processing
Publisher	IEEE
Pages	1063-1068
Volume	3
ISBN (Print)	0780358716, 9780780358713
DOIs	https://doi.org/10.1109/ICONIP.1999.844683
Publication status	Published - Nov 1999
Externally published	Yes
Event	6th International Conference on Neural Information Processing (ICONIP'99) - Perth, Australia Duration: 16 Nov 1999 → 20 Nov 1999

Publication series

Name	ICONIP, International Conference on Neural Information Processing - Proceedings
Volume	3

Conference

Conference	6th International Conference on Neural Information Processing (ICONIP'99)
Place	Australia
City	Perth
Period	16/11/99 → 20/11/99

Access Output

10.1109/ICONIP.1999.844683

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

@inproceedings{bd6adeaa10e844b59d5c29af644fd683,

title = "H2 Control Design for Fuzzy Dynamic Systems by LMI",

abstract = "This paper addresses H2 control of complex nonlinear systems which can be represented by a fuzzy dynamic model. Based on a Lyapunov function and a piecewise Lyapunov function respectively, two kinds of new control design methods are proposed. It is shown that the closed-loop fuzzy control system is asymptotically stable with a white-noise attenuation. The H2 controller can be obtained by Linear Matrix Inequalities (LMI) numerical techniques. ",

author = "Ning Zhang and Gang Feng",

year = "1999",

month = nov,

doi = "10.1109/ICONIP.1999.844683",

language = "English",

isbn = "0780358716",

volume = "3",

series = "ICONIP, International Conference on Neural Information Processing - Proceedings",

publisher = "IEEE",

pages = "1063--1068",

booktitle = "ICONIP'99, 6th International Conference on Neural Information Processing",

address = "United States",

note = "6th International Conference on Neural Information Processing (ICONIP'99) ; Conference date: 16-11-1999 Through 20-11-1999",

}

Zhang, N & Feng, G 1999, H₂ Control Design for Fuzzy Dynamic Systems by LMI. in ICONIP'99, 6^th International Conference on Neural Information Processing. vol. 3, 844683, ICONIP, International Conference on Neural Information Processing - Proceedings, vol. 3, IEEE, pp. 1063-1068, 6th International Conference on Neural Information Processing (ICONIP'99), Perth, Western Australia, Australia, 16/11/99. https://doi.org/10.1109/ICONIP.1999.844683

H₂ Control Design for Fuzzy Dynamic Systems by LMI. / Zhang, Ning; Feng, Gang.
ICONIP'99, 6^th International Conference on Neural Information Processing. Vol. 3 IEEE, 1999. p. 1063-1068 844683 (ICONIP, International Conference on Neural Information Processing - Proceedings; Vol. 3).

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

TY - GEN

T1 - H2 Control Design for Fuzzy Dynamic Systems by LMI

AU - Zhang, Ning

AU - Feng, Gang

PY - 1999/11

Y1 - 1999/11

N2 - This paper addresses H2 control of complex nonlinear systems which can be represented by a fuzzy dynamic model. Based on a Lyapunov function and a piecewise Lyapunov function respectively, two kinds of new control design methods are proposed. It is shown that the closed-loop fuzzy control system is asymptotically stable with a white-noise attenuation. The H2 controller can be obtained by Linear Matrix Inequalities (LMI) numerical techniques.

AB - This paper addresses H2 control of complex nonlinear systems which can be represented by a fuzzy dynamic model. Based on a Lyapunov function and a piecewise Lyapunov function respectively, two kinds of new control design methods are proposed. It is shown that the closed-loop fuzzy control system is asymptotically stable with a white-noise attenuation. The H2 controller can be obtained by Linear Matrix Inequalities (LMI) numerical techniques.

UR - https://www.scopus.com/pages/publications/85041318994

UR - https://www.scopus.com/pages/publications/85041318994#tab=impact

U2 - 10.1109/ICONIP.1999.844683

DO - 10.1109/ICONIP.1999.844683

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

SN - 0780358716

SN - 9780780358713

VL - 3

T3 - ICONIP, International Conference on Neural Information Processing - Proceedings

SP - 1063

EP - 1068

BT - ICONIP'99, 6th International Conference on Neural Information Processing

PB - IEEE

T2 - 6th International Conference on Neural Information Processing (ICONIP'99)

Y2 - 16 November 1999 through 20 November 1999

ER -