Abstract
The conventional design of fuzzy logic controller uses human intuition and experience, which rarely constitutes an optimal design. In this paper, a systematic design procedure is presented to realize the optimal fuzzy logic regulator. The proposed scheme minimizes a suitable criterion function employing the steepest descent method. The recently proposed Block Partial Derivative (BPD) is used to facilitate the gradient computation.
| Original language | English |
|---|---|
| Pages (from-to) | 159-172 |
| Number of pages | 14 |
| Journal | Journal of Intelligent and Fuzzy Systems |
| Volume | 8 |
| Issue number | 3 |
| State | Published - 2000 |
ASJC Scopus subject areas
- Statistics and Probability
- General Engineering
- Artificial Intelligence