JOSS Papers: model identification

Published Papers

published Published 7 months ago

LikelihoodProfiler.jl: Unified profile-likelihood workflows for identifiability and confidence intervals

Julia Jupyter Notebook

10.21105/joss.09501

published Published 9 months ago

pyOMA2: A Python module for conducting operational modal analysis

Jupyter Notebook Python

10.21105/joss.07656

published Published 10 months ago

NonSysId: Nonlinear System Identification with Improved Model Term Selection for NARMAX Models

MATLAB

10.21105/joss.08028

published Published 11 months ago

pyCLINE: A Python package using the CLINE method for discovery of nullcline structures in oscillatory dynamics

Python JavaScript

10.21105/joss.08112

published Published over 1 year ago

COBRAPRO: A MATLAB toolbox for Physics-based Battery Modeling and Co-simulation Parameter Optimization

MATLAB

@COBRAPROsimulator

10.21105/joss.06803

published Published over 2 years ago

PYDAQ: Data Acquisition and Experimental Analysis with Python

C++ Python

10.21105/joss.05662

published Published over 4 years ago

PySINDy: A comprehensive Python package for robust sparse system identification

Python

10.21105/joss.03994

published Published almost 5 years ago

serp: An R package for smoothing in ordinal regression

R

10.21105/joss.03705

published Published almost 6 years ago

SysIdentPy: A Python package for System Identification using NARMAX models

Python

10.21105/joss.02384

published Published over 6 years ago

PySINDy: A Python package for the sparse identification of nonlinear dynamical systems from data

Python

10.21105/joss.02104

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