michael-cummins / DeePC-Hunt
Automatic hyperparameter tuning for DeePC. Built by Michael Cummins at the Automatic Control Laboratory, ETH Zurich.
☆17Updated 4 months ago
Alternatives and similar repositories for DeePC-Hunt:
Users that are interested in DeePC-Hunt are comparing it to the libraries listed below
- A wrapped package for Data-enabled predictive control (DeePC) implementation. Including DeePC and Robust DeePC design with multiple objec…☆18Updated 4 months ago
- ☆16Updated 2 years ago
- A dual-control effect preserving formulation for nonlinear output-feedback stochastic model predictive control with constraints☆14Updated last year
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆26Updated 3 years ago
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆22Updated 2 years ago
- Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020☆20Updated 5 years ago
- code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"☆15Updated last year
- This project is source code of paper Deep DeePC: Data-enabled predictive control with low or no online optimization using deep learning b…☆15Updated 4 months ago
- Learning-Based Efficient Approximation of Data-Enabled Predictive Control☆11Updated last year
- Z. Sun, Q. Wang, J. Pan and Y. Xia, "Data-Driven MPC for Linear Systems using Reinforcement Learning," 2021 China Automation Congress (CA…☆15Updated last year
- Solving a constrained robust optimal control problem with uncertain neural network dynanmics through convex optimization.☆11Updated last year
- ☆8Updated 2 years ago
- Data-enabled predictive control (DeePC) implementation using MATLAB☆24Updated last year
- ☆13Updated 10 months ago
- This is the MATLAB code for tube robust MPC with uncertainty quantification☆32Updated last year
- Tube-certified nonlinear tracking with robust control contraction metrics☆25Updated last year
- ☆14Updated 4 years ago
- Data Driven Model Predictive Control using Gaussian Processes☆19Updated 7 months ago
- The nonlinear MPC scheme with guaranteed maximal terminal region based stability☆11Updated 3 years ago
- This repo is for developing a Koopman operator based MPC for autonomous vehicles.☆16Updated 2 years ago
- A collection of code examples for different Data-driven Predictive Control algorithms applied to LTI systems.☆13Updated 8 months ago
- ☆18Updated 4 years ago
- J. Berberich, J. Köhler, M. A. Müller and F. Allgöwer, "Data-Driven Model Predictive Control With Stability and Robustness Guarantees," i…☆45Updated last year
- Robust model predictive control of uncertain linear dynamical systems subject to polytopic model uncertainty and additive disturbances.☆17Updated 2 years ago
- ☆9Updated 8 months ago
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆50Updated 2 years ago
- This is a Python realization for Milan Korda and Igor Mezic's paper Linear predictors for nonlinear dynamical systems: Koopman operator m…☆11Updated 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 3 years ago
- ☆16Updated last year
- a repository of the codes related with the paper published in the journal paper (check the readme file).☆19Updated 4 years ago