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47 search results found

Pysindy ⭐ 1,188

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

Sysidentpy ⭐ 270

A Python Package For System Identification Using NARMAX Models

Dojo.jl ⭐ 237

A differentiable physics engine for robotics

Ccontrol ⭐ 190

Using advanced control techniques in an easy way for embedded - No theory, only practice

Control adaptive filters with neural networks.

Pde Net ⭐ 149

PDE-Net: Learning PDEs from Data

A framework for gene expression programming (an evolutionary algorithm) in Python

Pontryagin Differentiable Programming ⭐ 123

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.

Controlsystemidentification.jl ⭐ 114

System Identification toolbox for LTI systems, compatible with ControlSystems.jl

Lowlevelparticlefilters.jl ⭐ 105

State estimation, smoothing and parameter estimation using Kalman and particle filters.

Mataveid ⭐ 69

System identification toolbox for GNU Octave and MATLAB

Embedded Firmware Control Systems Toolbox (Pure C and GNU Octave)

Adaptive Filters ⭐ 28

My collection of implementations of adaptive filters.

Autokoopman ⭐ 27

AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.

Slicot Reference ⭐ 24

SLICOT - A Fortran subroutines library for systems and control

A fully-featured flight simulator, capable of real-time lifting-line aerodynamic modelling.

Lc_toolbox ⭐ 21

An open-source linear control toolbox for MATLAB.

Vibrationtesting ⭐ 21

Vibration Testing module affiliated with the in-progress manuscript Vibration Testing with Modal Analysis and Health Monitoring- Python version

Pydimension ⭐ 20

Dimensionless learning codes for our paper called "Data-driven discovery of dimensionless numbers and governing laws from scarce measurements".

AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)

emgr -- EMpirical GRamian Framework

Sysid Transfer Functions Pytorch ⭐ 17

Codes accompanying the paper "Deep learning with transfer functions: new applications in system identification"

Dissertation ⭐ 17

Source for my 2012 UCD dissertation "Human Control of a Bicycle"

Code that trains cancer soft-robot networks

Pmh Tutorial ⭐ 15

Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"

Ltvmodels.jl ⭐ 14

Tools to estimate Linear Time-Varying models in Julia

AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control

Machine Learning And System Identification For Adaptive Optics ⭐ 13

This project deals with system identification and machine learning of large-scale deformable mirrors used in adaptive optics. I have submitted two papers that deal with this important problem. The approaches can be generalized two other problems of estimating large-scale system with the dynamics described by partial differential equations.

Multiarm Pendulum ⭐ 12

This repository is for our paper: "The Experimental Multi-Arm Pendulum on a Cart: A Benchmark System for Chaos, Learning, and Control." It contains all the CAD files we used to build the pendulum hardware, their corresponding user's manual, and data set we collected from our hardware, which is useful for Machine Learning and AI community.

Frolsidentification ⭐ 11

A set of Matlab/Octave files that performs a method of Nonlinear System Identification.

Moesp And N4sid ⭐ 11

Subspace methods for MIMO system identification

Lpvspectral.jl ⭐ 10

Least-squares (sparse) spectral estimation and (sparse) LPV spectral decomposition.

Pytorch Ident ⭐ 10

System identification in PyTorch

System_identification ⭐ 9

The usage of MATLAB System Identification Toolbox and PID parameters adjustment

Deepsysid ⭐ 9

System identification toolkit for multistep prediction using deep learning and hybrid methods.

Airo_control_interface ⭐ 8

All in one control interface for quadrotors in ROS.

SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations

SYSIS is a cross-platform script that displays base system & network information

Sysid Transformers ⭐ 7

Code to reproduce the results of the paper In-context learning for model-free system identification

Navboxplus ⭐ 7

An Unscented Estimation and Adaptive Control Package

Certainty-Equivalent Expectation Maximization: a scalable algorithm for system identification of partially observed systems

NIPS 2017 Paper implementation challenge Learning Linear Dynamic Systems via Spectral Filtering

SON-EM - Algorithm for parameter estimation of hybrid time-varying parameter systems using Sum of Norms regularization and Expectation Maximization

Implementation of Fast Orthogonal Search (FOS) Algorithm in MATLAB

Narmaxlasso.jl ⭐ 5

Algorithms for Lasso estimation of NARMAX models.

1-47 of 47 search results

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