michael-cummins / DeePC-HuntLinks
[L4DC 2025] Automatic hyperparameter tuning for DeePC. Built by Michael Cummins at the Automatic Control Laboratory, ETH Zurich.
☆22Updated 2 months ago
Alternatives and similar repositories for DeePC-Hunt
Users that are interested in DeePC-Hunt are comparing it to the libraries listed below
Sorting:
- This project is source code of paper Deep DeePC: Data-enabled predictive control with low or no online optimization using deep learning b…☆25Updated 10 months ago
- Solving a constrained robust optimal control problem with uncertain neural network dynanmics through convex optimization.☆11Updated last year
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆24Updated 3 years ago
- A wrapped package for Data-enabled predictive control (DeePC) implementation. Including DeePC and Robust DeePC design with multiple objec…☆22Updated 11 months ago
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆26Updated 3 years ago
- A dual-control effect preserving formulation for nonlinear output-feedback stochastic model predictive control with constraints☆14Updated 2 years ago
- Control barrier functions via reduced-order models.☆12Updated last year
- ☆19Updated 4 years ago
- Tube-certified nonlinear tracking with robust control contraction metrics☆28Updated 2 years ago
- Learning-Based Efficient Approximation of Data-Enabled Predictive Control☆15Updated last year
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆65Updated 2 years ago
- Python code of the paper "Efficient Calibration of Embedded MPC" (2020 IFAC World Congress) by Marco Forgione, Dario Piga, and Alberto Be…☆25Updated 4 years ago
- code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"☆19Updated 2 years ago
- Python library that implements DeePC: Data-Enabled Predictive Control☆82Updated last year
- ☆15Updated 2 years ago
- ☆10Updated 8 months ago
- The nonlinear MPC scheme with guaranteed maximal terminal region based stability☆10Updated 4 years ago
- Data-enabled predictive control (DeePC) implementation using MATLAB☆31Updated 2 years ago
- ☆14Updated 5 years ago
- a repository of the codes related with the paper published in the journal paper (check the readme file).☆20Updated 5 years ago
- Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020☆21Updated 5 years ago
- Neural Koopman Lyapunov Control☆25Updated 2 years ago
- All the code needed to learn models from data using Koopman operator approach.☆12Updated 6 years ago
- Code for "Learning Local Control Barrier Functions for Safety Control of Hybrid Systems"☆14Updated last year
- Data-Driven Predictive Control☆79Updated last year
- ☆21Updated 4 years ago
- Develop a Koopman operator based MPC for controlling a quadrotor☆71Updated 2 months ago
- The code accompanies the publication "Feedback Linearization based on Gaussian Processes with event-triggered Online Learning" by Jonas U…☆48Updated 4 years ago
- Synthesis of control barrier functions with SOS☆15Updated 2 years ago
- This is the MATLAB code for tube robust MPC with uncertainty quantification☆50Updated last year