Nonlinear parameter fuzzy control for uncertain systems with only system output measurement

Chun Yao Chen; Chin Ming Hong; Yih Guang Leu

doi:10.1109/FUZZY.2009.5277075

Nonlinear parameter fuzzy control for uncertain systems with only system output measurement

Chun Yao Chen
, Chin Ming Hong
, Yih Guang Leu^*

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

Abstract

In this paper, a nonlinear parameter fuzzy control scheme is proposed for a class of uncertain systems without all states measurement. In the control scheme, a fuzzy identifier without prior knowledge on membership functions is merged into direct adaptive control by means of a linear state estimator. Since the structure of the fuzzy identifier is nonlinear in the adjusted parameters, the fuzzy identifier uses a mean method to develop adaptive laws. Finally, an example is provided to demonstrate the effectiveness of the proposed control scheme.

Original language	English
Title of host publication	2009 IEEE International Conference on Fuzzy Systems - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1216-1220
Number of pages	5
ISBN (Print)	9781424435975
DOIs	https://doi.org/10.1109/FUZZY.2009.5277075
Publication status	Published - 2009
Event	18th IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2009 - Jeju Island, Korea, Republic of Duration: 2009 Aug 20 → 2009 Aug 24

Publication series

Name	IEEE International Conference on Fuzzy Systems
ISSN (Print)	1098-7584

Conference

Conference	18th IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2009
Country/Territory	Korea, Republic of
City	Jeju Island
Period	2009/08/20 → 2009/08/24

Keywords

Adaptive control
Fuzzy systems
Nonlinear systems

ASJC Scopus subject areas

Software
Theoretical Computer Science
Artificial Intelligence
Applied Mathematics

Access to Document

10.1109/FUZZY.2009.5277075

Cite this

Chen, C. Y., Hong, C. M., & Leu, Y. G. (2009). Nonlinear parameter fuzzy control for uncertain systems with only system output measurement. In 2009 IEEE International Conference on Fuzzy Systems - Proceedings (pp. 1216-1220). Article 5277075 (IEEE International Conference on Fuzzy Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FUZZY.2009.5277075

Nonlinear parameter fuzzy control for uncertain systems with only system output measurement. / Chen, Chun Yao; Hong, Chin Ming; Leu, Yih Guang.
2009 IEEE International Conference on Fuzzy Systems - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2009. p. 1216-1220 5277075 (IEEE International Conference on Fuzzy Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Chen, CY, Hong, CM & Leu, YG 2009, Nonlinear parameter fuzzy control for uncertain systems with only system output measurement. in 2009 IEEE International Conference on Fuzzy Systems - Proceedings., 5277075, IEEE International Conference on Fuzzy Systems, Institute of Electrical and Electronics Engineers Inc., pp. 1216-1220, 18th IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2009, Jeju Island, Korea, Republic of, 2009/08/20. https://doi.org/10.1109/FUZZY.2009.5277075

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keywords = "Adaptive control, Fuzzy systems, Nonlinear systems",

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AB - In this paper, a nonlinear parameter fuzzy control scheme is proposed for a class of uncertain systems without all states measurement. In the control scheme, a fuzzy identifier without prior knowledge on membership functions is merged into direct adaptive control by means of a linear state estimator. Since the structure of the fuzzy identifier is nonlinear in the adjusted parameters, the fuzzy identifier uses a mean method to develop adaptive laws. Finally, an example is provided to demonstrate the effectiveness of the proposed control scheme.

KW - Adaptive control

KW - Fuzzy systems

KW - Nonlinear systems

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ER -

Nonlinear parameter fuzzy control for uncertain systems with only system output measurement

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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