roahmlab / koopman-realizationsLinks
Codebase for generating linear/bilinear/nonlinear Koopman model realizations from data and constructing MPC controllers.
☆26Updated 3 years ago
Alternatives and similar repositories for koopman-realizations
Users that are interested in koopman-realizations are comparing it to the libraries listed below
Sorting:
- 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
- ☆13Updated last year
- Implement SLS MPC for linear systems subject to polytopic model uncertainty and additive disturbances.☆29Updated last year
- Software for Data-driven Model Predictive Control of 3-DoF Helicopters☆21Updated last year
- Data-Driven Predictive Control☆74Updated last year
- The reproduction of tube-based MPC for nonlinear systems☆47Updated last year
- Data-enabled predictive control (DeePC) implementation using MATLAB☆26Updated last year
- J. Berberich, J. Köhler, M. A. Müller and F. Allgöwer, "Data-Driven Model Predictive Control With Stability and Robustness Guarantees," i…☆57Updated last year
- Data Driven Model Predictive Control using Gaussian Processes☆24Updated 9 months ago
- ☆16Updated 2 years ago
- ☆19Updated last year
- 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
- All the code needed to learn models from data using Koopman operator approach.☆11Updated 6 years ago
- ☆14Updated 4 years ago
- Supplemental code for "Auto-Generation of Mission-Oriented Robot Controllers Using Bayesian-Based Koopman Operator"☆14Updated last year
- This document explains the implementation of the Koopman Operator in conjunction with Model Predictive Control (MPC) to control a nonline…☆13Updated 4 months 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
- Robust model predictive control of uncertain linear dynamical systems subject to polytopic model uncertainty and additive disturbances.☆19Updated 2 years ago
- Develop a Koopman operator based MPC for controlling a quadrotor☆63Updated 8 months ago
- A rigid-tube based robust MPC python package.☆55Updated 2 months ago
- A collection of code examples for different Data-driven Predictive Control algorithms applied to LTI systems.☆17Updated 10 months ago
- This is the MATLAB code for tube robust MPC with uncertainty quantification☆38Updated last year
- ☆14Updated last year
- Tube based Model Predictive Control that utilize Neural Networks to improve performance with adaptive control inputs.☆18Updated 3 years ago
- The code accompanies the publication "Feedback Linearization based on Gaussian Processes with event-triggered Online Learning" by Jonas U…☆46Updated 4 years ago
- A simple robust MPC for linear systems with model mismatch: Balancing conservatism vs computational complexity☆29Updated 3 years ago
- Code needed to reproduce the examples found in the various works published on Distributed and Localized Model Predictive Control via Syst…☆51Updated 2 years ago
- Introduction to Reinforcement Learning and Model Predictive Control with MATLAB and Simulink☆24Updated last year
- Implementation of model predictive control for nonlinear systems via machine learning and function approximators☆55Updated 7 years ago
- ☆31Updated 4 years ago