A package for the sparse identification of nonlinear dynamical systems from data
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Updated
May 8, 2024 - Python
A package for the sparse identification of nonlinear dynamical systems from data
PDE-Net: Learning PDEs from Data
A framework for gene expression programming (an evolutionary algorithm) in Python
A Python Package For System Identification Using NARMAX Models
Control adaptive filters with neural networks.
A MATLAB package for modelling multivariate stimulus-response data
A differentiable physics engine for robotics
A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.
Embedded Firmware Control Systems Toolbox (Pure C and GNU Octave)
SLICOT - A Fortran subroutines library for systems and control
Vibration Testing module affiliated with the in-progress manuscript Vibration Testing with Modal Analysis and Health Monitoring- Python version
AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)
My collection of implementations of adaptive filters.
State estimation, smoothing and parameter estimation using Kalman and particle filters.
The usage of MATLAB System Identification Toolbox and PID parameters adjustment
dynamic analysis of structural vibrations
System Identification toolbox, compatible with ControlSystems.jl
Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"
Subspace methods for MIMO system identification
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