arbabiha / KoopmanMPC_for_flowcontrol
A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control
☆136Updated 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
- ☆71Updated 6 years ago
- Koopman operator☆27Updated 5 years ago
- Codebase for generating linear/bilinear/nonlinear Koopman model realizations from data and constructing MPC controllers.☆21Updated 3 years ago
- Koopman Reduced-Order Nonlinear Identification and Control☆88Updated 5 years ago
- Implement SLS MPC for linear systems subject to polytopic model uncertainty and additive disturbances.☆27Updated 11 months ago
- Supplemental code for "Data-driven Control of Soft Robots Using Koopman Operator Theory," by Daniel Bruder, Xun Fu, R. Brent Gillespie, C…☆67Updated 5 years ago
- ☆13Updated last year
- We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-infor…☆101Updated last year
- ☆12Updated last year
- This is a Python realization for Milan Korda and Igor Mezic's paper Linear predictors for nonlinear dynamical systems: Koopman operator m…☆11Updated 2 years ago
- Learning-Based Model Predictive Control (LBMPC)☆102Updated 5 years ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆72Updated 11 months ago
- Develop a Koopman operator based MPC for controlling a quadrotor☆59Updated 6 months ago
- Python library that implements DeePC: Data-Enabled Predictive Control☆66Updated 6 months ago
- Data-Driven Predictive Control☆69Updated last year
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆22Updated 2 years ago
- a repository of the codes related with the paper published in the journal paper (check the readme file).☆19Updated 4 years ago
- All the code needed to learn models from data using Koopman operator approach.☆11Updated 5 years ago
- Code for submission to 2024 submission to Automatica titled "Closed-loop Data-enabled Predictive Control and its equivalence with Closed-…☆13Updated 6 months ago
- Subspace methods for MIMO system identification☆63Updated 5 years ago
- ☆23Updated 3 years ago
- This repository contains classwork and practice examples based on Model Predictive Control. Robust and Stochastic control methods applied…☆55Updated 2 years ago
- ☆41Updated 3 years ago
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆50Updated 2 years ago
- Soure code for Deep Koopman with Control☆78Updated 2 years ago
- Implementation of model predictive control for nonlinear systems via machine learning and function approximators☆52Updated 6 years ago
- Data-enabled predictive control (DeePC) implementation using MATLAB☆24Updated last year
- Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020☆20Updated 5 years ago
- Repository for construction of Koopman eigenfunctions for unknown dynamical systems and identification of a lifted state-space model usin…☆27Updated 2 years ago
- A reliable controller is critical for execution of safe and smooth maneuvers of an autonomous vehicle. The controller must be robust to e…☆64Updated 5 years ago