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Control Of Physics Informed Gaussian Processes.

Jupyter Notebook 4 Updated Jan 21, 2025

A curated list of solvers/software/frameworksrelevant for dynamic optimiation

31 9 Updated Oct 18, 2024
Jupyter Notebook 58 11 Updated Mar 9, 2024

Solver for Algebraic Riccati equation with two ways: iteration based method & eigenvalue decomposition method

C++ 1 Updated Nov 9, 2018

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

Python 4,189 1,318 Updated May 23, 2024

Soure code for Deep Koopman with Control

Jupyter Notebook 69 19 Updated Jun 19, 2022

Expectation Maximization (EM) algorithm to approximate Koopman generators for control-affine systems

Jupyter Notebook 5 2 Updated Aug 22, 2022

Learn sparse representations of the Koopman operator in POD basis in kernel feature space

MATLAB 10 6 Updated Jun 9, 2017

Multiple-model nonlinear regression system identification using the EM algorithm and Bayesian framework for model assignment

MATLAB 6 1 Updated Jun 9, 2017

Use autoencoder with linear recurrence of encoded state to learn a Koopman invariant subspace of a dynamical system.

3 1 Updated Jun 9, 2017

Autonomously learning to race autonomously

Python 24 7 Updated Jan 22, 2025

A general-purpose Python package for Koopman theory using deep learning.

Python 91 13 Updated Oct 14, 2023

files for DDK

Python 7 2 Updated Dec 20, 2023

Implementation of Koopman operator theory based pruning in the ShrinkBench framework

Python 2 Updated Feb 24, 2022

Some Python Implementations of the Kalman Filter

Jupyter Notebook 2 Updated Feb 9, 2021

Some Python Implementations of the Kalman Filter

Jupyter Notebook 1,065 367 Updated Apr 1, 2024

Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"

MATLAB 22 5 Updated Dec 8, 2020

Fast symbolic computation, code generation, and nonlinear optimization for robotics

C++ 1,468 150 Updated Jan 15, 2025
Jupyter Notebook 6 2 Updated Feb 2, 2021

Methods for numerical differentiation of noisy data in python

Python 113 17 Updated Aug 14, 2023

Cleaner and Formatter for BibTeX files

TeX 896 68 Updated Dec 1, 2024
MATLAB 3 3 Updated Dec 29, 2017

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

Python 1,504 328 Updated Jan 12, 2025

A package for computing data-driven approximations to the Koopman operator.

Python 326 64 Updated Nov 6, 2024

Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from Data

Jupyter Notebook 54 21 Updated May 20, 2022

ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct o…

C++ 500 247 Updated Aug 14, 2024

The Python Control Systems Library is a Python module that implements basic operations for analysis and design of feedback control systems.

Python 1,751 433 Updated Jan 20, 2025

Model predictive control python toolbox

Python 1,050 185 Updated Oct 7, 2024
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