Structural identifiability analysis shows point sources restore identifiability for inferring spatial stochastic dynamics parameters from static snapshots, unlike distributed sources, with limits depending on modeling choices.
Observability and Structural Identifiability of Nonlinear Biological Systems
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A tutorial derives and simulates a multirate extended Kalman filter via sample state augmentation for state estimation in agricultural anaerobic digestion plants.
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Identifiability Limits of Physics-Informed Inference for Spatial Stochastic Dynamics from Static Snapshots
Structural identifiability analysis shows point sources restore identifiability for inferring spatial stochastic dynamics parameters from static snapshots, unlike distributed sources, with limits depending on modeling choices.
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A Tutorial to Multirate Extended Kalman Filter Design for Monitoring of Agricultural Anaerobic Digestion Plants
A tutorial derives and simulates a multirate extended Kalman filter via sample state augmentation for state estimation in agricultural anaerobic digestion plants.