bruderd / KoopmanMPC_sysidLinks
All the code needed to learn models from data using Koopman operator approach.
☆11Updated 6 years ago
Alternatives and similar repositories for KoopmanMPC_sysid
Users that are interested in KoopmanMPC_sysid are comparing it to the libraries listed below
Sorting:
- Implement SLS MPC for linear systems subject to polytopic model uncertainty and additive disturbances.☆29Updated last year
- Codebase for generating linear/bilinear/nonlinear Koopman model realizations from data and constructing MPC controllers.☆26Updated 3 years ago
- The code accompanies the publication "Feedback Linearization based on Gaussian Processes with event-triggered Online Learning" by Jonas U…☆47Updated 4 years ago
- Data-Driven Predictive Control☆75Updated last year
- This repository contains simulation codes generated for the paper titled "Comparative Analysis of Data-Driven Predictive Control Strategi…☆11Updated 2 months ago
- a repository of the codes related with the paper published in the journal paper (check the readme file).☆19Updated 4 years ago
- Tube-certified nonlinear tracking with robust control contraction metrics☆26Updated last year
- This is a Python realization for Milan Korda and Igor Mezic's paper Linear predictors for nonlinear dynamical systems: Koopman operator m…☆13Updated 2 years ago
- This repo is for developing a Koopman operator based MPC for autonomous vehicles.☆16Updated 2 years ago
- ☆14Updated 4 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
- Supplemental code for "Auto-Generation of Mission-Oriented Robot Controllers Using Bayesian-Based Koopman Operator"☆14Updated last year
- Software for Data-driven Model Predictive Control of 3-DoF Helicopters☆21Updated last year
- ☆20Updated last year
- Robust model predictive control of uncertain linear dynamical systems subject to polytopic model uncertainty and additive disturbances.☆19Updated 2 years ago
- code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"☆17Updated last year
- Data-driven attitude control design for multirotor UAVs☆17Updated 8 years ago
- ☆14Updated 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
- Develop a Koopman operator based MPC for controlling a quadrotor☆63Updated 8 months ago
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆58Updated 2 years ago
- Data Driven Model Predictive Control using Gaussian Processes☆24Updated 10 months ago
- A simple robust MPC for linear systems with model mismatch: Balancing conservatism vs computational complexity☆30Updated 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…☆17Updated last year
- Data-enabled predictive control (DeePC) implementation using MATLAB☆26Updated last year
- ☆16Updated 2 years ago
- This is the MATLAB code for tube robust MPC with uncertainty quantification☆40Updated last year
- This approach is used to solve data-driven optimal control problems by providing a Koopman operator based convex formulation☆10Updated last year
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆26Updated 3 years ago
- A collection of code examples for different Data-driven Predictive Control algorithms applied to LTI systems.☆17Updated 11 months ago