Fuzzy Control for Knowledge-Based Interpolation
| Type of publication: | Inbook |
| Citation: | moewes_mamdani_2012 |
| Booktitle: | Combining Experimentation and Theory: A Hommage to Abe Mamdani |
| Series: | Studies in Fuzziness and Soft Computing |
| Volume: | 271 |
| Year: | 2012 |
| Pages: | 91--101 |
| Publisher: | Springer-Verlag |
| Address: | Berlin, Heidelberg |
| ISBN: | 978-3-642-24665-4 |
| URL: | http://link.springer.com/chapt... |
| DOI: | 10.1007/978-3-642-24666-1_7 |
| Abstract: | Fuzzy control accounts for the biggest industrial success of fuzzy logic. We review an interpretation of Mamdani’s heuristic control approach. It can be seen as knowledge-based interpolation based on input-output points of a vaguely known function. We reexamine two real-world control problems that have been fortunately solved based on this interpretation. |
| Keywords: | Fuzzy Control, Fuzzy Rules, Interpolation, Mamdani Control |
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| Added by: | [CM] |
| Total mark: | 0 |
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