rssalessio / PyDeePCLinks
Python library that implements DeePC: Data-Enabled Predictive Control
☆72Updated 9 months ago
Alternatives and similar repositories for PyDeePC
Users that are interested in PyDeePC are comparing it to the libraries listed below
Sorting:
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆58Updated 2 years ago
- Data-enabled predictive control (DeePC) implementation using MATLAB☆26Updated last year
- ☆72Updated 7 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
- J. Berberich, J. Köhler, M. A. Müller and F. Allgöwer, "Data-Driven Model Predictive Control With Stability and Robustness Guarantees," i…☆59Updated last year
- code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"☆17Updated last year
- A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control☆146Updated 5 years ago
- Codebase for generating linear/bilinear/nonlinear Koopman model realizations from data and constructing MPC controllers.☆26Updated 3 years ago
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆23Updated 2 years ago
- Data-Driven Predictive Control☆75Updated last year
- Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020☆21Updated 5 years ago
- ☆14Updated 4 years ago
- We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-infor…☆113Updated last year
- Develop a Koopman operator based MPC for controlling a quadrotor☆63Updated 8 months ago
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆26Updated 3 years ago
- ☆13Updated last year
- Soure code for Deep Koopman with Control☆87Updated 3 years ago
- Repository for Koopman based learning and nonlinear control☆45Updated 2 years ago
- ☆19Updated 4 years ago
- Supplemental code for "Auto-Generation of Mission-Oriented Robot Controllers Using Bayesian-Based Koopman Operator"☆14Updated last year
- a repository of the codes related with the paper published in the journal paper (check the readme file).☆19Updated 4 years ago
- All the code needed to learn models from data using Koopman operator approach.☆11Updated 6 years ago
- This project is source code of paper Deep DeePC: Data-enabled predictive control with low or no online optimization using deep learning b…☆18Updated 6 months ago
- Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach☆49Updated 6 years ago
- Learning-Based Model Predictive Control (LBMPC)☆105Updated 6 years ago
- ☆14Updated last year
- Implement SLS MPC for linear systems subject to polytopic model uncertainty and additive disturbances.☆29Updated last year
- Project for the course "Statistical Learning and Stochastic Control" at University of Stuttgart☆210Updated 4 years ago
- Learning-Based Efficient Approximation of Data-Enabled Predictive Control☆14Updated last year
- This repository contains classwork and practice examples based on Model Predictive Control. Robust and Stochastic control methods applied…☆60Updated 2 years ago