Pdbz199 / Koopman-RL-OldLinks
Data-driven Koopman control theory applied to reinforcement learning!
☆33Updated last year
Alternatives and similar repositories for Koopman-RL-Old
Users that are interested in Koopman-RL-Old are comparing it to the libraries listed below
Sorting:
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆46Updated 4 years ago
- ☆72Updated 7 years ago
- A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control☆146Updated 5 years ago
- AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.☆76Updated last year
- ☆19Updated 5 years ago
- Repository for construction of Koopman eigenfunctions for unknown dynamical systems and identification of a lifted state-space model usin…☆28Updated 2 years ago
- Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020☆21Updated 5 years ago
- Koopman Reduced-Order Nonlinear Identification and Control☆90Updated 5 years ago
- Code for CDC2022 submission☆11Updated 5 months ago
- code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"☆17Updated last year
- Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach☆83Updated 6 years ago
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆23Updated 2 years ago
- Koopman operator☆27Updated 5 years ago
- Repository for Koopman based learning and nonlinear control☆45Updated 2 years ago
- Learning-Based Efficient Approximation of Data-Enabled Predictive Control☆14Updated last year
- ☆13Updated last year
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆58Updated 2 years ago
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆24Updated 4 years ago
- Model-based Control using Koopman Operators☆51Updated 5 years ago
- Use deep learning to learn Koopman operator and LQR for optimal control☆16Updated 4 years ago
- Neural Lyapunov control of unknown nonlinear systems with stability guarantees☆15Updated 2 years ago
- Tube-Based Zonotopic Data Driven Predictive Control☆9Updated 2 years ago
- Python library that implements DeePC: Data-Enabled Predictive Control☆72Updated 9 months ago
- Data-enabled predictive control (DeePC) implementation using MATLAB☆26Updated last year
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆26Updated 3 years ago
- ☆14Updated 5 months ago
- Python library that implements ZPC: Zonotopic Data-Driven Predictive Control.☆10Updated 2 years ago
- Codebase for generating linear/bilinear/nonlinear Koopman model realizations from data and constructing MPC controllers.☆26Updated 3 years ago
- 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
- We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-infor…☆113Updated last year