data-driven-control
There are 18 repositories under data-driven-control topic.
rssalessio/PyDeePC
Python library that implements DeePC: Data-Enabled Predictive Control
shiivashaakeri/Data-Driven-Model-Predictive-Control-MPC-with-Stability-and-Robustness-Guarantees
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.
Zhang-Xuewen/DeePCtools
A wrapped package for Data-enabled predictive control (DeePC) implementation. Including DeePC and Robust DeePC design with multiple objective functions.
michael-cummins/DeePC-Hunt
Automatic hyperparameter tuning for DeePC. Built by Michael Cummins at the Automotaic Control Laboratory, ETH Zurich.
rssalessio/PythonVRFT
Virtual Reference Feedback Tuning (VRFT) Python Library - Alessio Russo (alessior@kth.se)
rssalessio/PyZPC
Python library that implements ZPC: Zonotopic Data-Driven Predictive Control.
shiivashaakeri/Data-Driven-MPC-Linear-Systems-RL
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.
Zhang-Xuewen/Deep-DeePC
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.
rssalessio/TZDDPC
Tube-Based Zonotopic Data Driven Predictive Control
rssalessio/data-poisoning-linear-systems
Code for the paper Analysis and Detectability of Offline Data Poisoning Attacks on Linear Systems.
pavelacamposp/direct_data_driven_mpc
A Python implementation of a Direct Data-Driven Model Predictive Control (MPC) controller for Linear Time-Invariant (LTI) systems, based on the work of J. Berberich et al. presented in the paper "Data-Driven Model Predictive Control With Stability and Robustness Guarantees".
DeepDynaSim/DeepLyapunovFunction
Efficient Computation of Lyapunov Functions Using Deep Neural Networks for the Assessment of Stability in Controller Design
TUM-ITR/PGopt
Particle Gibbs-based optimal control with performance guarantees for unknown systems with latent states
SebKerz/Data-Driven-Tube-Based-Stochastic-Predictive-Control
Code for journal publication 10.1109/OJCSYS.2023.3291596
msramada/DataEnabledControl.jl
This is the Julia implementation of the behavioral control DeePC algorithm.
a-shakouri/ddc-examples
Data-driven control examples
tudoroancea/math_591_project
Code for my project on 'Neural system identification and control for Formula Student Driverless cars'
alexberndt/PythonVRFT
Virtual Reference Feedback Tuning (VRFT) python library forked from Alessio Russo.