Abstract
A new fuzzy reasoning is proposed so that the conclusion consists of a function of mean-values on each membership function in antecedent. It is then shown that the constant parameters in conclusion can be rationally designed from the view point of a control theory, if the conclusion is regarded as a sliding controller with the mean values in antecedent as state variables.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the International Joint Conference on Neural Networks |
| Publisher | Publ by IEEE |
| Pages | 2983-2986 |
| Number of pages | 4 |
| Volume | 3 |
| ISBN (Print) | 0780314212, 9780780314214 |
| Publication status | Published - 1993 |
| Externally published | Yes |
| Event | Proceedings of 1993 International Joint Conference on Neural Networks. Part 1 (of 3) - Nagoya, Jpn Duration: Oct 25 1993 → Oct 29 1993 |
Other
| Other | Proceedings of 1993 International Joint Conference on Neural Networks. Part 1 (of 3) |
|---|---|
| City | Nagoya, Jpn |
| Period | 10/25/93 → 10/29/93 |
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ASJC Scopus subject areas
- Engineering(all)
Cite this
Fuzzy controller design using the mean-value-based functional reasoning. / Watanabe, Keigo; Hara, Katsuhiro; Tzafestas, Spyros G.
Proceedings of the International Joint Conference on Neural Networks. Vol. 3 Publ by IEEE, 1993. p. 2983-2986.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Fuzzy controller design using the mean-value-based functional reasoning
AU - Watanabe, Keigo
AU - Hara, Katsuhiro
AU - Tzafestas, Spyros G.
PY - 1993
Y1 - 1993
N2 - A new fuzzy reasoning is proposed so that the conclusion consists of a function of mean-values on each membership function in antecedent. It is then shown that the constant parameters in conclusion can be rationally designed from the view point of a control theory, if the conclusion is regarded as a sliding controller with the mean values in antecedent as state variables.
AB - A new fuzzy reasoning is proposed so that the conclusion consists of a function of mean-values on each membership function in antecedent. It is then shown that the constant parameters in conclusion can be rationally designed from the view point of a control theory, if the conclusion is regarded as a sliding controller with the mean values in antecedent as state variables.
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UR - http://www.scopus.com/inward/citedby.url?scp=0027839664&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0027839664
SN - 0780314212
SN - 9780780314214
VL - 3
SP - 2983
EP - 2986
BT - Proceedings of the International Joint Conference on Neural Networks
PB - Publ by IEEE
ER -