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dae_lserc

DAE LSERC and Param reduction and estimation

https://github.com/mdcl-uc/dae_lserc

Science Score: 44.0%

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Repository

DAE LSERC and Param reduction and estimation

Basic Info
  • Host: GitHub
  • Owner: MDCL-UC
  • License: mit
  • Language: MATLAB
  • Default Branch: main
  • Size: 32.2 KB
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  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Readme License Citation

README.md

This repo is related to the paper Parametric Identifiability and Reduction of Nonsmooth Differential Algebraic Equation Systems. There are 2 Matlab files, the first is for example1/algorithm1 and the second for example2/algorithm2.

Owner

  • Login: MDCL-UC
  • Kind: user

Citation (CITATION.cff) 

# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!

cff-version: 1.2.0
title: Matlab
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Hesham
    family-names: Abdelfattah
    email: abdelfhm@mail.uc.edu
  - given-names: Peter
    family-names: Stechlinski
    email: peter.stechlinski@maine.edu
  - given-names: Sameh
    family-names: Eisa
    email: eisash@ucmail.uc.edu
abstract: >2-
   In this paper, we extend the method known as
  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 theory
  and

  method of Lexicographic-SERC (L-SERC) to achieve an iden-

  tifiability test for differential algebraic equation (DAE)
  systems

  for the first time, including nonsmooth systems.
  Additionally, we

  propose a mechanism, based on combining the L-SERC test
  and

  Latin hypercube sampling, for studying global
  identifiability.

  Capitalizing on this, we develop a parameter reduction
  scheme

  for nonsmooth DAE systems.

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