IBR Dynamics and Physics-Informed Learning
IBR Stability, Model Reduction, and Validation
C2 · Core course · 8 modules
Analyze retained dynamics and choose reduced models for a declared study domain.
Module framework available; full lessons, runnable experiments, and worked practice are in development.
Prerequisites and learning path
IBR modeling foundations, linear algebra, and basic feedback control.
Modules
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Equilibrium and Linearization
Construct and check local state-space models around each equilibrium.
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Modes, Participation, and Residues
Relate eigenvalues to physical states and observed response channels.
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Frequency and Time-Domain Validation
Evaluate a model against declared channels and disturbance scales.
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Time Scales, QSS, and Singular Perturbation
Understand the assumptions behind removing selected state dynamics.
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Conventional Reduction Baselines
Compare reduction methods under a shared input-output contract.
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Stability Counterexamples and Validity Boundaries
Use failed reductions to locate model-validity limits.
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Cross-Tool Evidence and Validation Levels
Interpret agreement without overstating what a reference model validates.
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Model Selection and Feedback-Path Diagnostics
Choose model fidelity by the property to preserve and inspect research diagnostics.
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Course project
Select a reduced model for specified outputs, frequency bands, disturbances, and grid strengths.
Deliverables
- A declared operating domain and acceptance criteria.
- Modal, frequency-domain, and time-domain evidence.
- A model-selection report retaining failed candidates.