Thermonuclear fusion devices of the Tokamak type can operate in distinct confinement regimes, which present different properties in terms of performance and plasma parameters. Discriminating among them in real time would represent a useful advantage for an efficient control of the experiments. A comparison between two automatic identifiers, one based on fuzzy logic and another based on classification and regression trees, is presented. A robustness assessment, adding Gaussian white noise to the input signals, was performed to determine the properties of the two approaches in realistic experimental conditions.
|Publication status||Published - 2008|
|Event||Computational Intelligence in Decision and Control - 8th International FLINS Conference - , Spain|
Duration: 1 Jan 2008 → …
|Conference||Computational Intelligence in Decision and Control - 8th International FLINS Conference|
|Period||1/1/08 → …|
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Information Systems and Management
- Control and Systems Engineering
Vagliasindi, G., Arena, P., Fortuna, L., & Murari, A. (2008). Comparison between cart and fuzzy logic for confinement regime classification at jet. Paper presented at Computational Intelligence in Decision and Control - 8th International FLINS Conference, Spain.