| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6905849 | Applied Soft Computing | 2014 | 9 Pages |
Abstract
- New evolving Takagi-Sugeno-Kang (TSK) fuzzy models dedicated to crane systems are proposed.
- A set of three evolving TSK fuzzy models are derived by an online identification algorithm.
- The models are tested and compared against the experimental data on a pendulum-crane equipment.
- The proposed TSK fuzzy models are simple and consistent with both training data and testing data.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Radu-Emil Precup, HoraÅ£iu-Ioan Filip, Mircea-Bogdan RÄdac, Emil M. Petriu, Stefan Preitl, Claudia-Adina DragoÅ,