Fuzzy approach for disturbance reduction

Hsin Han Chiang; Shinq Jen Wu; Tsu Tian Lee

doi:10.1109/CIRA.2003.1222205

Fuzzy approach for disturbance reduction

Hsin Han Chiang, Shinq Jen Wu, Tsu Tian Lee

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

Abstract

The basic principles of the fuzzy set theory are applied to the signal restoration problems. The estimated values obtained form the fuzzy model are in the form of fuzzy numbers which present the possibility of the system structure. Both L-R and symmetric triangular type membership functions are employed to derive the fuzzy disturbance reduction. The quarter-car semi-active suspension system with unknown disturbance caused by roughness of road is provided to demonstrate the applicability and effectiveness of the proposed fuzzy algorithm in disturbance reduction problem.

Original language	English
Title of host publication	Proceedings - 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation
Subtitle of host publication	Computational Intelligence in Robotics and Automation for the New Millennium
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1416-1420
Number of pages	5
ISBN (Electronic)	0780378660
DOIs	https://doi.org/10.1109/CIRA.2003.1222205
Publication status	Published - 2003
Externally published	Yes
Event	2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2003 - Kobe, Japan Duration: 2003 Jul 16 → 2003 Jul 20

Publication series

Name	Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA
Volume	3

Conference

Conference	2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2003
Country/Territory	Japan
City	Kobe
Period	2003/07/16 → 2003/07/20

ASJC Scopus subject areas

Computational Mathematics

Access to Document

10.1109/CIRA.2003.1222205

Cite this

Chiang, H. H., Wu, S. J., & Lee, T. T. (2003). Fuzzy approach for disturbance reduction. In Proceedings - 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation: Computational Intelligence in Robotics and Automation for the New Millennium (pp. 1416-1420). Article 1222205 (Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA; Vol. 3). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CIRA.2003.1222205

Fuzzy approach for disturbance reduction. / Chiang, Hsin Han; Wu, Shinq Jen; Lee, Tsu Tian.
Proceedings - 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation: Computational Intelligence in Robotics and Automation for the New Millennium. Institute of Electrical and Electronics Engineers Inc., 2003. p. 1416-1420 1222205 (Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA; Vol. 3).

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

Chiang, HH, Wu, SJ & Lee, TT 2003, Fuzzy approach for disturbance reduction. in Proceedings - 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation: Computational Intelligence in Robotics and Automation for the New Millennium., 1222205, Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA, vol. 3, Institute of Electrical and Electronics Engineers Inc., pp. 1416-1420, 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA 2003, Kobe, Japan, 2003/07/16. https://doi.org/10.1109/CIRA.2003.1222205

Chiang HH, Wu SJ, Lee TT. Fuzzy approach for disturbance reduction. In Proceedings - 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation: Computational Intelligence in Robotics and Automation for the New Millennium. Institute of Electrical and Electronics Engineers Inc. 2003. p. 1416-1420. 1222205. (Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA). doi: 10.1109/CIRA.2003.1222205

Chiang, Hsin Han ; Wu, Shinq Jen ; Lee, Tsu Tian. / Fuzzy approach for disturbance reduction. Proceedings - 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation: Computational Intelligence in Robotics and Automation for the New Millennium. Institute of Electrical and Electronics Engineers Inc., 2003. pp. 1416-1420 (Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA).

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Fuzzy approach for disturbance reduction

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