Abstract
In this paper, the general problem of identifying the parameters describing Sugeno controllers from example data is addressed. It is shown that this approximation is ill-posed, which necessitates the use of regularization methods. Based upon this discovery, an efficient numerical algorithm for solving the general regularized approximation problem is proposed, followed by numerical examples with real-world data.
| Original language | English |
|---|---|
| Title of host publication | Proc. Joint 9th IFSA World Congress and 20th NAFIPS Int. Conf. |
| Pages | 239-244 |
| Number of pages | 6 |
| Publication status | Published - Jul 2001 |
Fields of science
- 101 Mathematics
- 101020 Technical mathematics
- 101004 Biomathematics
- 101027 Dynamical systems
- 101013 Mathematical logic
- 101028 Mathematical modelling
- 101014 Numerical mathematics
- 101024 Probability theory
- 102001 Artificial intelligence
- 102003 Image processing
- 102009 Computer simulation
- 102019 Machine learning
- 102023 Supercomputing
- 202027 Mechatronics
- 206001 Biomedical engineering
- 206003 Medical physics
- 102035 Data science