Parameter Identifiability and Reduction for Smooth and Nonsmooth Differential-Algebraic Equation Systems

IF 2.4 Q2 AUTOMATION & CONTROL SYSTEMS IEEE Control Systems Letters Pub Date : 2024-12-23 DOI:10.1109/LCSYS.2024.3521427
Hesham Abdelfattah;Peter Stechlinski;Sameh A. Eisa
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Abstract

We extend the sensitivity rank condition (SERC), which tests for identifiability of smooth input-output systems, to a broader class of systems. Particularly, we build on our recently developed lexicographic SERC (L-SERC) theory and methods to achieve an identifiability test for differential-algebraic equation (DAE) systems for the first time, including nonsmooth systems. Additionally, we develop a method to determine the identifiable and non-identifiable parameter sets. We show how this new theory can be used to establish a (non-local) parameter reduction procedure and we show how parameter estimation problems can be solved. We apply the new methods to problems in wind turbine power systems and glucose-insulin kinetics.
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光滑与非光滑微分代数方程组的参数可辨识性与约简
我们将测试光滑输入输出系统可辨识性的灵敏度等级条件(SERC)扩展到更广泛的系统类别。特别是,我们建立在我们最近开发的词典SERC (L-SERC)理论和方法的基础上,首次实现了微分代数方程(DAE)系统的可识别性测试,包括非光滑系统。此外,我们还开发了一种确定可识别和不可识别参数集的方法。我们展示了如何使用这个新理论来建立一个(非局部)参数约简过程,并展示了如何解决参数估计问题。我们将新方法应用于风力发电系统和葡萄糖-胰岛素动力学问题。
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来源期刊
IEEE Control Systems Letters
IEEE Control Systems Letters Mathematics-Control and Optimization
CiteScore
4.40
自引率
13.30%
发文量
471
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