arbabiha / KoopmanMPC_for_flowcontrol
A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control
☆132Updated 4 years ago
Alternatives and similar repositories for KoopmanMPC_for_flowcontrol:
Users that are interested in KoopmanMPC_for_flowcontrol are comparing it to the libraries listed below
- ☆68Updated 6 years ago
- Koopman operator☆27Updated 5 years ago
- Codebase for generating linear/bilinear/nonlinear Koopman model realizations from data and constructing MPC controllers.☆20Updated 3 years ago
- Koopman Reduced-Order Nonlinear Identification and Control☆87Updated 4 years ago
- We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-infor…☆98Updated last year
- Supplemental code for "Data-driven Control of Soft Robots Using Koopman Operator Theory," by Daniel Bruder, Xun Fu, R. Brent Gillespie, C…☆66Updated 5 years ago
- All the code needed to learn models from data using Koopman operator approach.☆11Updated 5 years ago
- Implement SLS MPC for linear systems subject to polytopic model uncertainty and additive disturbances.☆26Updated 10 months ago
- ☆13Updated last year
- Data-Driven Predictive Control☆65Updated last year
- Learning-Based Model Predictive Control (LBMPC)☆99Updated 5 years ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆70Updated 10 months ago
- This is a Python realization for Milan Korda and Igor Mezic's paper Linear predictors for nonlinear dynamical systems: Koopman operator m…☆11Updated last year
- ☆12Updated last year
- Develop a Koopman operator based MPC for controlling a quadrotor☆54Updated 5 months ago
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆22Updated 2 years ago
- ☆23Updated 3 years ago
- Repository for Koopman based learning and nonlinear control☆39Updated 2 years ago
- Implementation of model predictive control for nonlinear systems via machine learning and function approximators☆52Updated 6 years ago
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆49Updated last year
- Gaussian Process Model Dynamic System Identification Toolbox for Matlab☆90Updated 7 years ago
- ☆41Updated 3 years ago
- Python library that implements DeePC: Data-Enabled Predictive Control☆65Updated 5 months ago
- Subspace methods for MIMO system identification☆61Updated 5 years ago
- Data-driven Koopman control theory applied to reinforcement learning!☆31Updated last year
- The code accompanies the publication "Feedback Linearization based on Gaussian Processes with event-triggered Online Learning" by Jonas U…☆42Updated 3 years ago
- J. Berberich, J. Köhler, M. A. Müller and F. Allgöwer, "Data-Driven Model Predictive Control With Stability and Robustness Guarantees," i…☆42Updated last year
- ☆266Updated 4 years ago
- Model-based Control using Koopman Operators☆51Updated 4 years ago