GUI for System Identification using NARX and NARMAX models
-
Updated
May 31, 2024 - Python
GUI for System Identification using NARX and NARMAX models
A package for the sparse identification of nonlinear dynamical systems from data
a gradient-based optimisation routine for highly parameterised non-linear dynamical models
An experimental code base for system identification with Jax.
State estimation, smoothing and parameter estimation using Kalman and particle filters.
dynamic analysis of structural vibrations
Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery
All in one control interface for quadrotors in ROS.
A Python Package For System Identification Using NARMAX Models
Code of the paper "On the adaptation of in-context learners for system identification" by Dario Piga, Filippo Pura, and Marco Forgione
System Identification toolbox, compatible with ControlSystems.jl
Flight dynamics models and control laws created directly from flight test data.
AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.
Python code of the paper Model order reduction of deep structured state-space models: A system-theoretic approach
Algorithms implemented throughout my academic life
Variational Joint Filtering
System identification toolkit for multistep prediction using deep learning and hybrid methods.
Experiments for CCTA 2024 submission on fast Bayesian gray-box identification of convection in heat transfer dynamics.
Code to reproduce the results of the paper In-context learning for model-free system identification
Add a description, image, and links to the system-identification topic page so that developers can more easily learn about it.
To associate your repository with the system-identification topic, visit your repo's landing page and select "manage topics."