TY - CHAP
T1 - H∞ gain scheduling using fuzzy rules
AU - Yang, Ciann Dong
AU - Kuo, Tsong Ming
AU - Tai, Hung Chun
PY - 1996/12/1
Y1 - 1996/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0030398840&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0030398840&partnerID=8YFLogxK
M3 - Chapter
AN - SCOPUS:0030398840
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 3794
EP - 3799
BT - Proceedings of the IEEE Conference on Decision and Control
A2 - Anon, null
T2 - Proceedings of the 35th IEEE Conference on Decision and Control. Part 4 (of 4)
Y2 - 11 December 1996 through 13 December 1996
ER -