JMoyalan / Koopman_based_data_driven_controlLinks
This approach is used to solve data-driven optimal control problems by providing a Koopman operator based convex formulation
☆13Updated last year
Alternatives and similar repositories for Koopman_based_data_driven_control
Users that are interested in Koopman_based_data_driven_control are comparing it to the libraries listed below
Sorting:
- Z. Sun, Q. Wang, J. Pan and Y. Xia, "Data-Driven MPC for Linear Systems using Reinforcement Learning," 2021 China Automation Congress (CA…☆22Updated last year
- 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
- ☆16Updated last year
- Implement SLS MPC for linear systems subject to polytopic model uncertainty and additive disturbances.☆28Updated last year
- This repository contains simulation codes generated for the paper titled "Comparative Analysis of Data-Driven Predictive Control Strategi…☆13Updated 4 months ago
- Data Driven Model Predictive Control using Gaussian Processes☆30Updated last year
- Tube based Model Predictive Control that utilize Neural Networks to improve performance with adaptive control inputs.☆21Updated 4 years ago
- ☆15Updated 2 years ago
- Relevant codes of the paper ``Adaptive Parameterized Model Predictive Control Based on Reinforcement Learning: A Synthesis Framework"☆15Updated last year
- This repository contains the code for the method presented in the paper "Safe Data-Driven Model Predictive Control of Systems with Comple…☆12Updated 3 years ago
- ☆26Updated last year
- A data-driven method for linear quadratic control with state and control constraints☆13Updated 3 years ago
- Tube-Based Zonotopic Data Driven Predictive Control☆11Updated 3 years ago
- Introduction to Reinforcement Learning and Model Predictive Control with MATLAB and Simulink☆27Updated 2 years ago
- Robust model predictive control of discrete-time time-delay systems using System Level Synthesis (linear time-varying state feedback cont…