Eric-Bradford / SDD-GP-MPCLinks
This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).
☆58Updated 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:
- The code accompanies the publication "Feedback Linearization based on Gaussian Processes with event-triggered Online Learning" by Jonas U…☆47Updated 4 years ago
- 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
- J. Berberich, J. Köhler, M. A. Müller and F. Allgöwer, "Data-Driven Model Predictive Control With Stability and Robustness Guarantees," i…☆59Updated last year
- All the code needed to learn models from data using Koopman operator approach.☆11Updated 6 years ago
- This repo is for developing a Koopman operator based MPC for autonomous vehicles.☆16Updated 2 years ago
- Develop a Koopman operator based MPC for controlling a quadrotor☆63Updated 8 months ago
- Implement SLS MPC for linear systems subject to polytopic model uncertainty and additive disturbances.☆29Updated last year
- Data-Driven Predictive Control☆75Updated last year
- A simple robust MPC for linear systems with model mismatch: Balancing conservatism vs computational complexity☆30Updated 3 years ago
- This is the MATLAB code for tube robust MPC with uncertainty quantification☆40Updated last year
- A dual-control effect preserving formulation for nonlinear output-feedback stochastic model predictive control with constraints☆14Updated last year
- Code needed to reproduce examples in "Robust Closed-loop Model Predictive Control via System Level Synthesis," by S. Chen, H. Wang, M. Mo…☆29Updated 5 years ago
- Python library that implements DeePC: Data-Enabled Predictive Control☆72Updated 9 months ago
- Supplemental code for "Auto-Generation of Mission-Oriented Robot Controllers Using Bayesian-Based Koopman Operator"☆14Updated last year
- ☆14Updated last year
- Solving a constrained robust optimal control problem with uncertain neural network dynanmics through convex optimization.☆11Updated last year
- ☆19Updated 4 years ago
- This repository contains the code for the method presented in the paper "Safe Data-Driven Model Predictive Control of Systems with Comple…☆12Updated 2 years ago
- Robust model predictive control of uncertain linear dynamical systems subject to polytopic model uncertainty and additive disturbances.☆19Updated 2 years ago
- Repository for Koopman based learning and nonlinear control☆45Updated 2 years ago
- Implementation of model predictive control for nonlinear systems via machine learning and function approximators☆55Updated 7 years ago
- code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"☆17Updated last year
- Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020☆21Updated 5 years ago
- A method adapted from the paper Nonlinear System Identification of Soft Robot Dynamics Using Koopman Operator Theory by D. Bruder et al t…☆12Updated 4 years ago
- Data-enabled predictive control (DeePC) implementation using MATLAB☆26Updated last year
- ☆14Updated 4 years ago
- Codebase for generating linear/bilinear/nonlinear Koopman model realizations from data and constructing MPC controllers.☆26Updated 3 years ago
- Apply the Bayesian Optimization for tuning the MPC Controller's hyperparameters☆18Updated 3 years ago
- ☆16Updated 2 years ago