A nudged-system optimization method recovers parameters in the Lorenz-63 system from partial noisy observations, with theoretical guarantees on synchronization and identifiability.
Anstett-Collin, L
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Unifilarisation of stochastic Mealy machines is an instance of coalgebraic determinisation over monads with support structure, producing causal stochastic behaviours rather than Moore-style output distributions.
Forward-operator geometry analysis shows identifiability limits in ultrasonic models arise from parameter coupling, anisotropic sensitivity, and stochastic variability, with combined observables improving conditioning.
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A Data-Assimilation-Augmented Optimization Framework for Parameter Estimation in Dynamical Systems
A nudged-system optimization method recovers parameters in the Lorenz-63 system from partial noisy observations, with theoretical guarantees on synchronization and identifiability.