H gain scheduling using fuzzy rules

Ciann Dong Yang, Tsong Ming Kuo, Hung Chun Tai

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)

Abstract

This paper introduces the integration of H control and fuzzy control. H gain scheduling using fuzzy rules is shown to have both stability and performance robustness properties which are not achievable, individually, via fuzzy control or H control. Our proposed scheme successfully provides H control with reinforced performance given by fuzzy control, and on the other hand, provides fuzzy control with guaranteed stability given by H control. The well-known benchmark problem is resolved to show that the proposed methodology not only guarantees robust-stability but also has a self-timing ability to meet robust-performance requirements at lower control costs.

Original languageEnglish
Title of host publicationProceedings of the IEEE Conference on Decision and Control
Editors Anon
Pages3794-3799
Number of pages6
Publication statusPublished - 1996 Dec 1
EventProceedings of the 35th IEEE Conference on Decision and Control. Part 4 (of 4) - Kobe, Jpn
Duration: 1996 Dec 111996 Dec 13

Publication series

NameProceedings of the IEEE Conference on Decision and Control
Volume4
ISSN (Print)0191-2216

Other

OtherProceedings of the 35th IEEE Conference on Decision and Control. Part 4 (of 4)
CityKobe, Jpn
Period96-12-1196-12-13

Fingerprint

Fuzzy rules
Fuzzy control
Scheduling
Costs

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Modelling and Simulation
  • Control and Optimization

Cite this

Yang, C. D., Kuo, T. M., & Tai, H. C. (1996). H gain scheduling using fuzzy rules. In Anon (Ed.), Proceedings of the IEEE Conference on Decision and Control (pp. 3794-3799). (Proceedings of the IEEE Conference on Decision and Control; Vol. 4).
Yang, Ciann Dong ; Kuo, Tsong Ming ; Tai, Hung Chun. / H gain scheduling using fuzzy rules. Proceedings of the IEEE Conference on Decision and Control. editor / Anon. 1996. pp. 3794-3799 (Proceedings of the IEEE Conference on Decision and Control).
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abstract = "This paper introduces the integration of H∞ control and fuzzy control. H∞ gain scheduling using fuzzy rules is shown to have both stability and performance robustness properties which are not achievable, individually, via fuzzy control or H∞ control. Our proposed scheme successfully provides H∞ control with reinforced performance given by fuzzy control, and on the other hand, provides fuzzy control with guaranteed stability given by H∞ control. The well-known benchmark problem is resolved to show that the proposed methodology not only guarantees robust-stability but also has a self-timing ability to meet robust-performance requirements at lower control costs.",
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Yang, CD, Kuo, TM & Tai, HC 1996, H gain scheduling using fuzzy rules. in Anon (ed.), Proceedings of the IEEE Conference on Decision and Control. Proceedings of the IEEE Conference on Decision and Control, vol. 4, pp. 3794-3799, Proceedings of the 35th IEEE Conference on Decision and Control. Part 4 (of 4), Kobe, Jpn, 96-12-11.

H gain scheduling using fuzzy rules. / Yang, Ciann Dong; Kuo, Tsong Ming; Tai, Hung Chun.

Proceedings of the IEEE Conference on Decision and Control. ed. / Anon. 1996. p. 3794-3799 (Proceedings of the IEEE Conference on Decision and Control; Vol. 4).

Research output: Chapter in Book/Report/Conference proceedingChapter

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Yang CD, Kuo TM, Tai HC. H gain scheduling using fuzzy rules. In Anon, editor, Proceedings of the IEEE Conference on Decision and Control. 1996. p. 3794-3799. (Proceedings of the IEEE Conference on Decision and Control).