michael-cummins / DeePC-HuntLinks
[L4DC 2025] Automatic hyperparameter tuning for DeePC. Built by Michael Cummins at the Automatic Control Laboratory, ETH Zurich.
☆21Updated 7 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…☆18Updated 7 months ago
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆23Updated 2 years ago
- A wrapped package for Data-enabled predictive control (DeePC) implementation. Including DeePC and Robust DeePC design with multiple objec…☆21Updated 7 months ago
- Solving a constrained robust optimal control problem with uncertain neural network dynanmics through convex optimization.☆11Updated last year
- Control barrier functions via reduced-order models.☆11Updated last year
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆26Updated 3 years ago
- Tube-certified nonlinear tracking with robust control contraction metrics☆26Updated last year
- ☆19Updated 4 years ago
- ☆9Updated 4 months 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 to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020☆21Updated 5 years ago
- A dual-control effect preserving formulation for nonlinear output-feedback stochastic model predictive control with constraints☆14Updated last year
- Code for "Learning Local Control Barrier Functions for Safety Control of Hybrid Systems"☆12Updated last year
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆58Updated 2 years ago
- code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"☆17Updated last year
- The nonlinear MPC scheme with guaranteed maximal terminal region based stability☆11Updated 3 years ago
- ☆16Updated 2 years ago
- a repository of the codes related with the paper published in the journal paper (check the readme file).☆19Updated 4 years ago
- This is the MATLAB code for tube robust MPC with uncertainty quantification☆40Updated last year
- Robust and nonlinear Direct Data-Driven MPC controllers for LTI and nonlinear systems in Python☆13Updated last week
- This simulation file demonstrates a variant of Robust Tube MPC in which the initial nominal state is a decision variable. Theoretical ba…☆15Updated last year
- Suite of Predictive Controllers for Industrial Embedded Systems. A Matlab toolbox for automatic code generation of solvers for MPC contro…☆17Updated last month
- ☆14Updated 4 years ago
- Neural Koopman Lyapunov Control☆25Updated 2 years ago
- Learning-Based Efficient Approximation of Data-Enabled Predictive Control☆14Updated last year
- The code accompanies the publication "Feedback Linearization based on Gaussian Processes with event-triggered Online Learning" by Jonas U…☆47Updated 4 years ago
- ☆23Updated 3 years ago
- Data-Driven Predictive Control☆75Updated last year
- This repo is for developing a Koopman operator based MPC for autonomous vehicles.☆16Updated 2 years ago
- J. Berberich, J. Köhler, M. A. Müller and F. Allgöwer, "Data-Driven Model Predictive Control With Stability and Robustness Guarantees," i…☆59Updated last year