[2207.07346] STRIKE-GOLDD 4.0: user-friendly, efficient analysis of structural identifiability and observability
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Electrical Engineering and Systems Science > Systems and Control

arXiv:2207.07346 (eess)
[Submitted on 15 Jul 2022]

Title:STRIKE-GOLDD 4.0: user-friendly, efficient analysis of structural identifiability and observability

Authors:Sandra Díaz-Seoane, Xabier Rey-Barreiro, Alejandro F. Villaverde
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Abstract:Structural identifiability and observability are desirable properties of systems biology models. Many software toolboxes have been developed for their analysis in the last decades. STRIKE-GOLDD is a generally applicable tool that can analyse non-linear, non-rational ODE models with unknown inputs. However, this generality comes at the expense of a lower computational efficiency than other tools. Here we present STRIKE-GOLDD 4.0, which includes a new algorithm, ProbObsTest, specifically designed for the analysis of rational models. ProbObsTest is significantly faster than the FISPO algorithm - which was already available in older versions of the toolbox - when applied to computationally expensive models. An important feature of both algorithms is their ability to analyse models with unknown inputs. Thus, their coexistence in the same toolbox provides a combination of general applicability and computational efficiency. STRIKE-GOLDD 4.0 is implemented as a free and open-source Matlab toolbox with a user-friendly graphical interface. It is available under a GPLv3 license and it can be downloaded from GitHub at this https URL.
Comments: 14 pages, 1 figure
Subjects: Systems and Control (eess.SY); Computational Engineering, Finance, and Science (cs.CE); Quantitative Methods (q-bio.QM)
Cite as: arXiv:2207.07346 [eess.SY]
  (or arXiv:2207.07346v1 [eess.SY] for this version)
  https://doi.org/10.48550/arXiv.2207.07346

Submission history

From: Alejandro Villaverde [view email]
[v1] Fri, 15 Jul 2022 08:46:54 UTC (197 KB)
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