Eric-Bradford / SDD-GP-MPCView external linksLinks
This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).
☆67Apr 9, 2023Updated 2 years ago
Alternatives and similar repositories for SDD-GP-MPC
Users that are interested in SDD-GP-MPC are comparing it to the libraries listed below
Sorting:
- Python library that implements ZPC: Zonotopic Data-Driven Predictive Control.☆12Sep 7, 2022Updated 3 years ago
- Software for Data-driven Model Predictive Control of 3-DoF Helicopters☆24Jul 18, 2023Updated 2 years ago
- Data Driven Model Predictive Control using Gaussian Processes☆30Sep 4, 2024Updated last year
- Tube-Based Zonotopic Data Driven Predictive Control☆11Nov 23, 2022Updated 3 years ago
- This repository contains the code for the method presented in the paper "Safe Data-Driven Model Predictive Control of Systems with Comple…☆12Jan 14, 2023Updated 3 years ago
- code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"☆19Sep 4, 2023Updated 2 years ago
- The code accompanies the publication "Feedback Linearization based on Gaussian Processes with event-triggered Online Learning" by Jonas U…☆49Apr 29, 2021Updated 4 years ago
- J. Berberich, J. Köhler, M. A. Müller and F. Allgöwer, "Data-Driven Model Predictive Control With Stability and Robustness Guarantees," i…☆82Dec 6, 2023Updated 2 years ago
- ☆28Mar 31, 2021Updated 4 years ago
- ☆15Feb 9, 2023Updated 3 years ago
- Z. Sun, Q. Wang, J. Pan and Y. Xia, "Data-Driven MPC for Linear Systems using Reinforcement Learning," 2021 China Automation Congress (CA…☆24Jan 25, 2024Updated 2 years ago
- MPC with Gaussian Process☆233Jun 9, 2019Updated 6 years ago
- Project for the course "Statistical Learning and Stochastic Control" at University of Stuttgart☆226Sep 24, 2020Updated 5 years ago
- A dual-control effect preserving formulation for nonlinear output-feedback stochastic model predictive control with constraints☆15Oct 23, 2023Updated 2 years ago
- Sampling based GP MPC☆41Feb 8, 2026Updated last week
- Model Predictive Controller for a quadcopter model using online learning with recursive Gaussian process regression in ROS-Gazebo☆26Apr 21, 2024Updated last year
- ☆12Jul 26, 2024Updated last year
- Infinite horizon policy optimization for drone navigation. Graded project for the ETH course "Dynamic Programming and Optimal Control".☆13Nov 2, 2021Updated 4 years ago
- A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control☆158Jun 10, 2020Updated 5 years ago
- ☆15Sep 12, 2020Updated 5 years ago
- Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gy…☆147May 15, 2023Updated 2 years ago
- Code for IFAC 2023☆10Oct 27, 2023Updated 2 years ago
- Automatic Tuning for Data-driven Model Predictive Control☆72Apr 13, 2023Updated 2 years ago
- Model-based Control using Koopman Operators☆57Jun 13, 2020Updated 5 years ago
- This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).☆62Jan 29, 2023Updated 3 years ago
- Learning-Based Efficient Approximation of Data-Enabled Predictive Control☆15Mar 29, 2024Updated last year
- A wrapped package for Data-enabled predictive control (DeePC) implementation. Including DeePC and Robust DeePC design with multiple objec…☆24Dec 9, 2024Updated last year
- Tube based Model Predictive Control that utilize Neural Networks to improve performance with adaptive control inputs.☆22Dec 8, 2021Updated 4 years ago
- Python library that implements DeePC: Data-Enabled Predictive Control☆90Oct 14, 2024Updated last year
- A collection of code examples for different Data-driven Predictive Control algorithms applied to LTI systems.☆23Aug 16, 2024Updated last year
- This is the MATLAB code for article "Static Output Feedback Data-Driven Control for Unknown Discrete-Time Linear Switched Systems"☆10Oct 1, 2021Updated 4 years ago
- Data-enabled predictive control (DeePC) implementation using MATLAB☆35Nov 10, 2023Updated 2 years ago
- High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, T…☆13Feb 2, 2025Updated last year
- A basic nonlinear model predictive control implementation using Casadi with Unscented Kalman filter state estimation☆52Apr 9, 2021Updated 4 years ago
- Implementation of Deep Q-Network（DQN）and Model Predictive Control, and their evaluation on the Quanser robot platform☆15Jul 24, 2020Updated 5 years ago
- [L4DC 2025] Automatic hyperparameter tuning for DeePC. Built by Michael Cummins at the Automatic Control Laboratory, ETH Zurich.☆24Sep 9, 2025Updated 5 months ago
- Solving a constrained robust optimal control problem with uncertain neural network dynanmics through convex optimization.☆11Jan 14, 2024Updated 2 years ago
- Distributionally Robust Stochastic Model Predictive Control☆14May 30, 2022Updated 3 years ago
- ☆26Mar 14, 2024Updated last year