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IBR Identification and Learned-Model Validation

Parameter–Residual Compensation

T1-02 · Module outline

Inspect equivalent fits and test the assumptions of staged estimation.

Learning objectives

  • Explain how a residual can absorb parameter error.
  • Keep approximate separation assumptions explicit.

Concept outline

  1. Joint physical and neural parameters
  2. Small-speed and staged fitting
  3. Prediction versus recovered parameter meaning

Experiment direction · Planned

Simulation and code experiment

Compare several parameter-residual pairs with similar prediction errors.

Model explanations, parameter settings, runnable code, and result interpretation will be developed here.

Practice and discussion

Propose one additional measurement that could resolve an ambiguity.

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.

All modules in this course
  1. Excitation, Observation, and Identifiability
  2. Parameter–Residual Compensation
  3. Configuration Uncertainty and Fair Baselines
  4. Independent Validation of Learned Dynamics