Abstract
This paper introduces a novel defuzzification procedure to segment the input domains and assign selectable gain factors. With proper factor values in the defuzzifier, a fuzzy logic controller can speed-up the transient response without affecting stability. In addition, an instability due to inappropriate control rules can be accommodated. Also, the proposed defuzzifier can improve the system performance by using a Genetic Algorithm to learn the gain factors.
Original language | English |
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Pages | 118-123 |
Number of pages | 6 |
Publication status | Published - 1997 Dec 1 |
Event | Proceedings of the 1997 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS'97 - Syracuse, NY, USA Duration: 1997 Sep 21 → 1997 Sep 24 |
Other
Other | Proceedings of the 1997 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS'97 |
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City | Syracuse, NY, USA |
Period | 97-09-21 → 97-09-24 |
All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Mathematics(all)