A comprehensive framework for model evaluation and refinement using MBDoE estimability and structural identifiability: application to a crystallization process

This paper presents a novel framework for the systematic evaluation, discrimination, and calibration of mathematical models. A diverse set of model candidates is first constructed to capture a broad range of underlying physical and kinetic phenomena. Structural identifiability analysis is then emplo...

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Bibliographic Details

Main Authors:	Xuming Yuan, Zoltan K Nagy, Brahim Benyahia
Format:	Default Article
Published:	2025
Subjects:	Structural identifiability Estimability Model discrimination Sensitivity analysis Model-based design of experiment (MBDoE) Temperature cycling Batch crystallization
Online Access:	https://hdl.handle.net/2134/30456311.v1
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