Abstract
A new application of fuzzy set theory to the state estimation problem is presented. The Lyapunov function here is utilized as a performance index to formulate the fuzzy inference rules. The proposed methodology not only has better state estimation in comparison with the traditional Kalman filter but the stability property is also guaranteed.
| Original language | English |
|---|---|
| Pages (from-to) | 497-500 |
| Number of pages | 4 |
| Journal | Proceedings - IEEE International Symposium on Circuits and Systems |
| Volume | 1 |
| Publication status | Published - 1995 Jan 1 |
| Event | Proceedings of the 1995 IEEE International Symposium on Circuits and Systems-ISCAS 95. Part 3 (of 3) - Seattle, WA, USA Duration: 1995 Apr 30 → 1995 May 3 |
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering