A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control
☆10May 21, 2018Updated 7 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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆81May 3, 2018Updated 7 years ago
- ☆23Jul 30, 2021Updated 4 years ago
- Code for CDC2022 submission☆11Sep 1, 2025Updated 6 months ago
- Python code of the paper "Efficient Calibration of Embedded MPC" (2020 IFAC World Congress) by Marco Forgione, Dario Piga, and Alberto Be…☆26May 5, 2021Updated 4 years ago
- A sum-of-squares toolbox for stability analysis☆10Dec 4, 2024Updated last year
- NordVPN Threat Protection Pro™ • AdTake your cybersecurity to the next level. Block phishing, malware, trackers, and ads. Lightweight app that works with all browsers.
- This is a Python realization for Milan Korda and Igor Mezic's paper Linear predictors for nonlinear dynamical systems: Koopman operator m…☆13Apr 5, 2023Updated 2 years ago
- Orientation estimation for IMUs using multi-kernel maximum Correntropy Kalman filter☆12Sep 7, 2022Updated 3 years ago
- Modeling time series using TensorFlow, scikit-learn, SINDy, SARIMA☆16May 25, 2022Updated 3 years ago
- All the code needed to learn models from data using Koopman operator approach.☆13Apr 18, 2019Updated 6 years ago
- a repository of the codes related with the paper published in the journal paper (check the readme file).☆20Aug 5, 2020Updated 5 years ago
- This repo is for developing a Koopman operator based MPC for autonomous vehicles.☆20Dec 12, 2022Updated 3 years ago
- ☆27Jan 12, 2022Updated 4 years ago
- Neural Koopman Lyapunov Control☆27May 5, 2023Updated 2 years ago
- Koopman Reduced-Order Nonlinear Identification and Control☆94Apr 14, 2020Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆26Mar 30, 2022Updated 3 years ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆50Nov 15, 2020Updated 5 years ago
- Codebase for generating linear/bilinear/nonlinear Koopman model realizations from data and constructing MPC controllers.☆29Sep 20, 2021Updated 4 years ago
- Implement SLS MPC for linear systems subject to polytopic model uncertainty and additive disturbances.☆28May 3, 2024Updated last year
- ☆13May 2, 2019Updated 6 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…☆24Jan 25, 2024Updated 2 years ago
- Introduction to Gaussian Processes☆11Jan 13, 2024Updated 2 years ago
- small fixed wing UAV simulator☆12Apr 26, 2016Updated 9 years ago
- a collection of modern sparse (regularized) linear regression algorithms.☆65May 10, 2020Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- A Python package to learn the Koopman operator.☆72Feb 28, 2026Updated 3 weeks ago
- Official implementation of the DiffSkill and PASTA algorithms for long-horizon, skill-based deformable object manipulation.☆14Feb 25, 2023Updated 3 years ago
- This Repository contains the matlab codes to generate the figures in Chapter 4 of the book "Demand Response in Smart Grids".☆15Oct 12, 2019Updated 6 years ago
- ☆10May 12, 2023Updated 2 years ago
- Fast Online Adaptation in Robotics through Meta-Learning Embeddings of Simulated Priors☆19Apr 14, 2021Updated 4 years ago
- Hands-on tutorial about Meta RL and GP-MPC at the RL4AA'24 workshop.☆15May 10, 2024Updated last year
- ☆17Mar 21, 2021Updated 5 years ago
- Official PyTorch Implementation of ADKF-IFT from Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction …☆10Jun 5, 2023Updated 2 years ago
- Supplemental code for "Data-driven Control of Soft Robots Using Koopman Operator Theory," by Daniel Bruder, Xun Fu, R. Brent Gillespie, C…☆83Mar 4, 2020Updated 6 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- This repository contains the code for the method presented in the paper "Safe Data-Driven Model Predictive Control of Systems with Comple…☆12Jan 14, 2023Updated 3 years ago
- My Master Thesis in the area of Data-Driven Control Engineering☆13Oct 10, 2021Updated 4 years ago
- Matlab software, papers, and presentations relating to concurrent learning and gaussian process MRAC☆22May 3, 2017Updated 8 years ago
- ☆19Aug 8, 2023Updated 2 years ago
- ☆17Jan 24, 2024Updated 2 years ago
- ☆14Sep 1, 2022Updated 3 years ago
- Lumped parameter and state-space methods for static, modal, and dynamic analysis☆11Dec 25, 2025Updated 3 months ago