A package for the sparse identification of nonlinear dynamical systems from data
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Updated
Mar 17, 2023 - Python
A package for the sparse identification of nonlinear dynamical systems from data
PDE-Net: Learning PDEs from Data
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A framework for gene expression programming (an evolutionary algorithm) in Python
Control adaptive filters with neural networks.
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.
System Identification toolbox for LTI systems, compatible with ControlSystems.jl
State estimation, smoothing and parameter estimation using Kalman and particle filters.
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Vibration Testing module affiliated with the in-progress manuscript Vibration Testing with Modal Analysis and Health Monitoring- Python version
My collection of implementations of adaptive filters.
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The usage of MATLAB System Identification Toolbox and PID parameters adjustment
Subspace methods for MIMO system identification
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SLICOT - A Fortran subroutines library for systems and control
Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"
A set of Matlab/Octave files that performs a method of Nonlinear System Identification.
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