A New Approach for Practical Identifiability Analysis Applied to Dynamic Phenomenological Models
作者： Viviane Rodrigues Botelho , Luciane Ferreira Trierweiler , Jorge Otávio Trierweiler , None
DOI: 10.3182/20120710-4-SG-2026.00150
关键词:
摘要: Abstract Identifiability analysis is an essential tool for parameter estimation of dynamic models. The objective this technique to verify which parameters model should be identified. This paper proposes a new methodology, based in control system theory applied the local sensitivity model. First, matrix scaled by applying optimization problem that minimizes condition number system. Then, analyzing NSRGA system, most appropriated subset estimated selected. To assess proposed case study presented.
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