GSUA-CSB

Toolbox for Parameter estimation, Uncertainty and Sensitivity analysis and Confidence Subcontour box estimation
542 Downloads
Updated 16 Feb 2024
Global Sensitivity and Uncertainty Analysis - Confidence Subcontour Box (GSUA-CSB) Toolbox is a product developed by Universidad EAFIT for command-line mathematical model validation in both of Simulink or Symbolic Math Toolbox environment . At present time, the toolbox allows to perform the following functions: To apply and visualize several variance-based sensitivity (SA) and uncertainty (UA) analysis, to estimate model parameters (PE) and to estimate a Confidence Subcontour Box (CSB) for previously estimated parameters.

Cite As

Rojas-Díaz, Daniel and Vélez-Sánchez, Carlos Mario (2019). GSUA-CSB (https://www.github.com/drojasd/GSUA-CSB), GitHub. Retrieved March 22, 2020. doi:10.5755281/zenodo.3383316.

MATLAB Release Compatibility
Created with R2023b
Compatible with R2017a and later releases
Platform Compatibility
Windows macOS Linux
Categories
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Version Published Release Notes
1.5

See release notes for this release on GitHub: https://github.com/drojasd/GSUA-CSB/releases/tag/v1.5

1.4.6

See release notes for this release on GitHub: https://github.com/drojasd/GSUA-CSB/releases/tag/v1.4.6

1.4.4

See release notes for this release on GitHub: https://github.com/drojasd/GSUA-CSB/releases/tag/v1.4.4

1.4.2

See release notes for this release on GitHub: https://github.com/drojasd/GSUA-CSB/releases/tag/v1.4.2

1.4.1

See release notes for this release on GitHub: https://github.com/drojasd/GSUA-CSB/releases/tag/v1.4.1

1.4

See release notes for this release on GitHub: https://github.com/drojasd/GSUA-CSB/releases/tag/v1.4

1.3

See release notes for this release on GitHub: https://github.com/drojasd/GSUA-CSB/releases/tag/v1.3

1.1

Integration with user-defined functions. Minor improvements in parameter estimation routines.

1.0.2

Minor changes for identifiability assessment (gsua_ia)

1.0.1

New citation.

1.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.