A package for the sparse identification of nonlinear dynamical systems from data
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Updated
Oct 15, 2026 - Python
A package for the sparse identification of nonlinear dynamical systems from data
A Python Package For System Identification Using NARMAX Models
A differentiable physics engine for robotics
PDE-Net: Learning PDEs from Data
Control adaptive filters with neural networks.
A framework for gene expression programming (an evolutionary algorithm) in Python
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)
State estimation, smoothing and parameter estimation using Kalman and particle filters.
System Identification toolbox, compatible with ControlSystems.jl
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System identification with MuJoCo
AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.
SLICOT - A Fortran subroutines library for systems and control
Use large-scale AI agent teams to rapidly discover code improvements and "autoresearch" your hardware systems.
The usage of MATLAB System Identification Toolbox and PID parameters adjustment
Subspace methods for MIMO system identification
A fully-featured flight simulator, capable of real-time lifting-line aerodynamic modelling.
Rex is a JAX-powered framework for sim-to-real robotics.
My collection of implementations of adaptive filters.
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