System identification (linear theory): video 8 Design options model validation

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Design options and model validation

Introduction: 00:00
Bias and variance: bull's eye chart: 08:36
Bias and variance considerations: 11:30
Bias: 14:19
Variance: 16:18
Pretreatment of data: 18:04
Model structure selection:
Objectives: 21:31
A priori considerations: 26:07
Preliminary data analysis: 29:38
Comparing model structures: 31:53
Model validation: 38:05
Model validation (1 - 3): 39:41
Model validation (4 - 6): 41:42
Model validation (7: whiteness of residuals): 46:31
Model validation (8: idependence of residuals and inputs): 47:40
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Hello sir, How to apply these concepts in close loop. We only know close loop input to the plant, close loop output .. we don't know about feedback signal, and input to the plant. input may be assumed to be white noise? Can you guide me regarding this.

MrigankaMukherjeeiitk