IBR Dynamics and Physics-Informed Learning
IBR Identification and Learned-Model Validation
T1 · Advanced topic · 4 modules
Study excitation, parameter meaning, residual ambiguity, and independent evidence.
Module framework available; full lessons, runnable experiments, and worked practice are in development.
Prerequisites and learning path
The modeling and Neural ODE courses; stability foundations for the validation project.
Modules
Excitation, Observation, and Identifiability
Define what the measurements can reveal about selected parameters.
Module outlineParameter–Residual Compensation
Inspect equivalent fits and test the assumptions of staged estimation.
Module outlineConfiguration Uncertainty and Fair Baselines
Evaluate models without giving one method hidden information advantages.
Module outlineIndependent Validation of Learned Dynamics
Build evidence that extends beyond fitting the calibration trajectories.
Module outline
Course project
Design an identification study with explicit observations and a fair baseline protocol.
Deliverables
- An observation and excitation contract.
- A baseline, split, noise, and seed protocol.
- A report separating prediction accuracy from parameter recovery.