Abstract
A self-learning fuzzy logic system is given for control of unknown multiple-input-multiple-output (MIMO) plants. Some nomenclature and several data types are introduced to develop a general formulation for controller activity. A random optimization algorithm is given to train the controller. A plant model is not required for training. Instead, training is guided by observations of plant responses to inputs.
| Original language | English |
|---|---|
| Pages (from-to) | 245-267 |
| Number of pages | 23 |
| Journal | Fuzzy Sets and Systems |
| Volume | 104 |
| Issue number | 2 |
| DOIs | |
| State | Published - 1 Jun 1999 |