| 1 | Development of two-phase induction motor model | [1] pg 16-31; [2] pg 28-32 |
| 2 | General introduction to current speed sensorles control methods related to induction motors | [1] pg 32-46; [2] pg 122-262 |
| 3 | Observers-Estimators using deterministic model of induction motor. Open-Loop flux and angular velocity estimations. model referans adaptive system based speed and flux estimations | [1] pg 47-59; |
| 4 | Speed adaptive flux observer. Extended Leunberger Observer | [1] pg 47-59; |
| 5 | MATLAB Simulink applications: Observers-Estimators using deterministic model of induction motor. | [3] pg (1-1)-(20-71); [4] pg 6-28 |
| 6 | MATLAB Simulink applications: Observers-Estimators using deterministic model of induction motor. | [3] pg (1-1)-(20-71); [4] pg 6-28 |
| 7 | MATLAB Simulink applications: Observers-Estimators using deterministic model of induction motor. | [3] pg (1-1)-(20-71); [4] pg 6-28 |
| 8 | Observers-Estimators using stochastic model of induction motor. Full and reduced order extended Kalman Filter based observers | [1] pg 60-88; |
| 9 | Observers-Estimators using stochastic model of induction motor. Full and reduced order extended Kalman Filter based observers | [1] pg 60-88; |
| 10 | Observers-Estimators using stochastic model of induction motor. Full and reduced order extended Kalman Filter based observers | [1] pg 60-88; |
| 11 | MATLAB Simulink applications: Observers-Estimators using stochastic model of induction motor. | [3] pg (1-1)-(20-71); [4] pg 6-28 |
| 12 | MATLAB Simulink applications: Observers-Estimators using stochastic model of induction motor. | [3] pg (1-1)-(20-71); [4] pg 6-28 |
| 13 | MATLAB Simulink applications: Observers-Estimators using stochastic model of induction motor. | [3] pg (1-1)-(20-71); [4] pg 6-28 |
| 14 | Final exam. | |