4:57

The Identification Loop and Its Four Ingredients

SCE 513 · L3

6:09

Two Systems, One Difference: Where the Noise Gets In

SCE 513 · L3

4:19

Models Without Parameters: Step Response and Correlation Analysis

SCE 513 · L3

5:30

Least Squares: Finding a and b

SCE 513 · L3

6:15

When More Data Doesn't Help: Bias, Consistency, and the Experiment

SCE 513 · L3

4:06

Simulate or Predict? What a Model Is For

SCE 513 · L4

5:20

Undoing the Noise Filter: the Inverse Noise Model

SCE 513 · L4

5:18

Computing H⁻¹: Tables and Long Division

SCE 513 · L4

4:42

One-Step-Ahead Prediction of the Disturbance

SCE 513 · L4

5:58

One-Step-Ahead Prediction of the Output, and the Innovation

SCE 513 · L4

1:09

The Sealed Box: System Identification in One Minute

SCE 513