System parameter estimation using the least squares method, statistical properties of the estimated parameters, estimation of weighting sequences, the extended least squares method, the generalizes least squares method, parameter estimation in closed loop, design of identification experiments, artificial neural networks, nonlinear optimization
Thursday, 04.10.2018: First meeting for the course in seminary room, Room BA 10B, 10th floor, building BA (former chemistry building).
Lecture notes for this course are available (institute 325A5). Further literature references in the script.
Opening hours of the secretary's office: Tuesday, Wednesday and Thursday from 09:00 a.m. till 11:00 a.m.