An improved design procedure for fuzzy control systems
The purpose of this paper is to introduce simpler and more effective method in designing fuzzy controllers. A scale for partitioning the universe of discourse and choosing the appropriate fuzzy set shapes for the control variables is introduced and is termed “fuzzimetric arcs”. Knowledge engineering...
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| Format: | article |
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1991
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| Online Access: | http://hdl.handle.net/10725/3697 http://dx.doi.org/ 10.1007/BF0012365710.1016/0890-6955(91)90055-8 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php http://www.sciencedirect.com/science/article/pii/0890695591900558 |
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| Summary: | The purpose of this paper is to introduce simpler and more effective method in designing fuzzy controllers. A scale for partitioning the universe of discourse and choosing the appropriate fuzzy set shapes for the control variables is introduced and is termed “fuzzimetric arcs”. Knowledge engineering techniques are used to obtain process information which is interpreted using systematic analysis as an aid to the design of fuzzy logic controller. This has been illustrated by a manufacturing system example in the form of a welding application which provides a guide to the reader who is unfamiliar with such techniques. |
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