Abstract
A new method for transforming fuzzy rules into a precise control strategy is presented. The proposed method formulates the problem by describing the dynamics of a plant whose state and control vectors are specified at discrete moments of time. This site is aimed at identifying a state vector in which several equality or inequalities of a specific type holds. A control strategy that satisfies all sets of fuzzy constraints can then be derived from the results.
| Original language | English (US) |
|---|---|
| Title of host publication | Proc 1994 1 Int Jt Conf NAFIPS IFIS NASA |
| Editors | Larry Hall, Hao Ying, Reza Langari, John Yen |
| Publisher | IEEE |
| Pages | 331-332 |
| Number of pages | 2 |
| State | Published - 1994 |
| Event | Proceedings of the 1994 1st International Joint Conference of NAFIPS/IFIS/NASA - San Antonio, TX, USA Duration: Dec 18 1994 → Dec 21 1994 |
Other
| Other | Proceedings of the 1994 1st International Joint Conference of NAFIPS/IFIS/NASA |
|---|---|
| City | San Antonio, TX, USA |
| Period | 12/18/94 → 12/21/94 |
All Science Journal Classification (ASJC) codes
- General Engineering
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