Abstract
An incremental type of fuzzy dynamic model suitable for one-step-ahead prediction of non-linear dynamic processes is presented and analysed. It is realized by a two-dimensional fuzzy inference procedure with inputs being the change-of-input and change-of-output of the process. Another second-level fuzzy tuning block is used to recursively update the scaling factors (borders of the membership functions) of the first inference procedure. Thus the proposed method is able to predict high-order non-linear or time varying processes by means of only 2 two-dimensional fuzzy inference procedures.
| Original language | English |
|---|---|
| Pages | 1807-1812 |
| Number of pages | 6 |
| Publication status | Published - 1996 |
| Externally published | Yes |
| Event | Proceedings of the 1996 5th IEEE International Conference on Fuzzy Systems. Part 3 (of 3) - New Orleans, LA, USA Duration: 8 Sept 1996 → 11 Sept 1996 |
Conference
| Conference | Proceedings of the 1996 5th IEEE International Conference on Fuzzy Systems. Part 3 (of 3) |
|---|---|
| City | New Orleans, LA, USA |
| Period | 8/09/96 → 11/09/96 |
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