data-driven-control
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Python library that implements DeePC: Data-Enabled Predictive Control
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Oct 14, 2024 - Python
J. Berberich, J. Köhler, M. A. Müller and F. Allgöwer, "Data-Driven Model Predictive Control With Stability and Robustness Guarantees," in IEEE Transactions on Automatic Control, vol. 66, no. 4, pp. 1702-1717, April 2021, doi: 10.1109/TAC.2020.3000182.
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Dec 6, 2023 - Python
This project is source code of paper Deep DeePC: Data-enabled predictive control with low or no online optimization using deep learning by X. Zhang, K. Zhang, Z. Li, and X. Yin. The objective of this work is to learn the DeePC operator using a neural network and bypass online optimization of conventional DeePC for efficient online implementation.
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Dec 17, 2024 - Python
[L4DC 2025] Automatic hyperparameter tuning for DeePC. Built by Michael Cummins at the Automatic Control Laboratory, ETH Zurich.
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Sep 9, 2025 - Python
Z. Sun, Q. Wang, J. Pan and Y. Xia, "Data-Driven MPC for Linear Systems using Reinforcement Learning," 2021 China Automation Congress (CAC), Beijing, China, 2021, pp. 394-399, doi: 10.1109/CAC53003.2021.9728233.
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Jan 25, 2024 - Python
A wrapped package for Data-enabled predictive control (DeePC) implementation. Including DeePC and Robust DeePC design with multiple objective functions.
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Dec 9, 2024 - Python
Robust and nonlinear Direct Data-Driven MPC controllers for LTI and nonlinear systems in Python
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Sep 25, 2025 - Python
Virtual Reference Feedback Tuning (VRFT) Python Library - Alessio Russo (alessior@kth.se)
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Aug 4, 2022 - Python
Python library that implements ZPC: Zonotopic Data-Driven Predictive Control.
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Sep 7, 2022 - Python
Tube-Based Zonotopic Data Driven Predictive Control
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Nov 23, 2022 - Python
Particle Gibbs-based optimal control with performance guarantees for unknown systems with latent states
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Jun 23, 2025 - Julia
Code for journal publication 10.1109/OJCSYS.2023.3291596
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Jul 12, 2024 - MATLAB
Code for the paper Analysis and Detectability of Offline Data Poisoning Attacks on Linear Systems.
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Dec 18, 2022 - Python
A repo for using different dynamic world modeling for prediction and control: including deep learning based koopman and State-Space Modes (SSM)
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Feb 16, 2026 - Python
Efficient Computation of Lyapunov Functions Using Deep Neural Networks for the Assessment of Stability in Controller Design
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Dec 7, 2023 - Jupyter Notebook
This is the Julia implementation of the behavioral control DeePC algorithm.
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May 6, 2024 - Julia
This repository contains supplementary material to the paper "Adaptive Koopman Model Predictive Control of Simple Serial Robots".
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Jul 5, 2025 - Julia
Python implementation of the adaptive Koopman model predictive control algorithm
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Jul 5, 2025 - Python
Robust data-driven control for nonlinear systems using imperfect digital twins and LMI-based quadratic funnel certificates.
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Oct 1, 2025 - Python
MRLocoSet: Simulation (6,279) and experimental (82) trajectories for magnetic microroller locomotion with dynamic linearization terms (φ) in obstacle environments.
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Jan 28, 2026
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