Abstract
Fuzzy controllers in general are designed using the experts' knowledge or human experience in order to decide the settings of a number of system factors. However, the relations between the factors and system performance are not easy to be determined. Usually, more than one system performance characteristic is considered. For determining the settings of factors in a systematical way, we apply Taguchi methods in this paper to design the structure of a fuzzy controller with multiple performance characteristics. A cart-pole system is exemplified to illustrate the design processes. An aggregated performance index is also proposed to measure the response of the cart-pole system. The simulated results showed that the proposed method can find the efficient design for fuzzy controller.
| Original language | English |
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| Title of host publication | Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006 |
| DOIs | |
| Publication status | Published - 2006 Dec 1 |
| Event | 9th Joint Conference on Information Sciences, JCIS 2006 - Taiwan, ROC, Taiwan Duration: 2006 Oct 8 → 2006 Oct 11 |
Publication series
| Name | Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006 |
|---|---|
| Volume | 2006 |
Other
| Other | 9th Joint Conference on Information Sciences, JCIS 2006 |
|---|---|
| Country | Taiwan |
| City | Taiwan, ROC |
| Period | 06-10-08 → 06-10-11 |
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All Science Journal Classification (ASJC) codes
- Engineering(all)
Cite this
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Optimization of a fuzzy controller using taguchi methods with multiple performance characteristics. / Chiang, Cheng Hsiung; Chen, Liang-Hsuan.
Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006. 2006. FTT-36 (Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006; Vol. 2006).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Optimization of a fuzzy controller using taguchi methods with multiple performance characteristics
AU - Chiang, Cheng Hsiung
AU - Chen, Liang-Hsuan
PY - 2006/12/1
Y1 - 2006/12/1
N2 - Fuzzy controllers in general are designed using the experts' knowledge or human experience in order to decide the settings of a number of system factors. However, the relations between the factors and system performance are not easy to be determined. Usually, more than one system performance characteristic is considered. For determining the settings of factors in a systematical way, we apply Taguchi methods in this paper to design the structure of a fuzzy controller with multiple performance characteristics. A cart-pole system is exemplified to illustrate the design processes. An aggregated performance index is also proposed to measure the response of the cart-pole system. The simulated results showed that the proposed method can find the efficient design for fuzzy controller.
AB - Fuzzy controllers in general are designed using the experts' knowledge or human experience in order to decide the settings of a number of system factors. However, the relations between the factors and system performance are not easy to be determined. Usually, more than one system performance characteristic is considered. For determining the settings of factors in a systematical way, we apply Taguchi methods in this paper to design the structure of a fuzzy controller with multiple performance characteristics. A cart-pole system is exemplified to illustrate the design processes. An aggregated performance index is also proposed to measure the response of the cart-pole system. The simulated results showed that the proposed method can find the efficient design for fuzzy controller.
UR - http://www.scopus.com/inward/record.url?scp=33847738479&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33847738479&partnerID=8YFLogxK
U2 - 10.2991/jcis.2006.286
DO - 10.2991/jcis.2006.286
M3 - Conference contribution
SN - 9078677015
SN - 9789078677017
T3 - Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006
BT - Proceedings of the 9th Joint Conference on Information Sciences, JCIS 2006
ER -