Abstract
A new fuzzy reasoning, which is called mean-value-based functional reasoning, is proposed in which the conclusion consists of a function of mean-values on each membership function in the antecedent. From the view point of control theory, i.e. if the conclusion is regarded as a VSS controller, it is possible to rationally design the constant parameters included in the conclusion for the usual functional reasoning and mean-value-based functional reasoning. Furthermore, some fuzzy-neural network controllers are constructed by applying such functional reasonings. Then, the number of learning parameters in the conclusion for the mean-value-based functional reasoning is shown to be reduced drastically, compared with those due to the usual functional reasoning and simplified reasoning. The effectiveness of the proposed method is illustrated by computer simulations for the tracking control problem of a mobile robot driven by two independent wheels.
| Original language | English |
|---|---|
| Pages (from-to) | 39-61 |
| Number of pages | 23 |
| Journal | Neurocomputing |
| Volume | 9 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1995 |
| Externally published | Yes |
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Keywords
- Design of fuzzy controller
- Fuzzy control
- Fuzzy reasoning
- Fuzzy-neural network
- Iterative learning control
- Mobile robot
- Neural networks
- VSS control
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science Applications
- Cognitive Neuroscience
- Cellular and Molecular Neuroscience
Cite this
Fuzzy-neural network controllers using mean-value-based functional reasoning. / Watanabe, Keigo; Kara, Katsuhiro; Koga, Shinji; Tzafestas, Spyros G.
In: Neurocomputing, Vol. 9, No. 1, 1995, p. 39-61.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Fuzzy-neural network controllers using mean-value-based functional reasoning
AU - Watanabe, Keigo
AU - Kara, Katsuhiro
AU - Koga, Shinji
AU - Tzafestas, Spyros G.
PY - 1995
Y1 - 1995
N2 - A new fuzzy reasoning, which is called mean-value-based functional reasoning, is proposed in which the conclusion consists of a function of mean-values on each membership function in the antecedent. From the view point of control theory, i.e. if the conclusion is regarded as a VSS controller, it is possible to rationally design the constant parameters included in the conclusion for the usual functional reasoning and mean-value-based functional reasoning. Furthermore, some fuzzy-neural network controllers are constructed by applying such functional reasonings. Then, the number of learning parameters in the conclusion for the mean-value-based functional reasoning is shown to be reduced drastically, compared with those due to the usual functional reasoning and simplified reasoning. The effectiveness of the proposed method is illustrated by computer simulations for the tracking control problem of a mobile robot driven by two independent wheels.
AB - A new fuzzy reasoning, which is called mean-value-based functional reasoning, is proposed in which the conclusion consists of a function of mean-values on each membership function in the antecedent. From the view point of control theory, i.e. if the conclusion is regarded as a VSS controller, it is possible to rationally design the constant parameters included in the conclusion for the usual functional reasoning and mean-value-based functional reasoning. Furthermore, some fuzzy-neural network controllers are constructed by applying such functional reasonings. Then, the number of learning parameters in the conclusion for the mean-value-based functional reasoning is shown to be reduced drastically, compared with those due to the usual functional reasoning and simplified reasoning. The effectiveness of the proposed method is illustrated by computer simulations for the tracking control problem of a mobile robot driven by two independent wheels.
KW - Design of fuzzy controller
KW - Fuzzy control
KW - Fuzzy reasoning
KW - Fuzzy-neural network
KW - Iterative learning control
KW - Mobile robot
KW - Neural networks
KW - VSS control
UR - http://www.scopus.com/inward/record.url?scp=0029121234&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0029121234&partnerID=8YFLogxK
U2 - 10.1016/0925-2312(95)00052-8
DO - 10.1016/0925-2312(95)00052-8
M3 - Article
AN - SCOPUS:0029121234
VL - 9
SP - 39
EP - 61
JO - Neurocomputing
JF - Neurocomputing
SN - 0925-2312
IS - 1
ER -