IBR Identification and Learned-Model Validation
Independent Validation of Learned Dynamics
T1-04 · Module outline
Build evidence that extends beyond fitting the calibration trajectories.
Learning objectives
- Hold out complete operating and disturbance cases.
- Report prediction, parameter, and stability evidence separately.
Concept outline
- Interpolation, extrapolation, and long-horizon rollout
- Equilibrium and modal discrepancies
- Failure counts and evidence boundaries
Experiment direction · Planned
Simulation and code experiment
Audit a learned model using a predeclared independent test matrix.
Model explanations, parameter settings, runnable code, and result interpretation will be developed here.
Practice and discussion
Write a conclusion supported by the available observations only.
Worked solutions and feedback will accompany the full lesson.
Material preparation
Related research cases or review records are available and need adaptation into a lesson with a declared scope.
Adapt the existing material into a lesson, a reproducible experiment, and worked practice.