umenberger / robust-deepcLinks
Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020
☆23Updated 5 years ago
Alternatives and similar repositories for robust-deepc
Users that are interested in robust-deepc are comparing it to the libraries listed below
Sorting:
- code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"☆19Updated 2 years ago
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆27Updated 3 years ago
- ☆15Updated 5 years ago
- Tube-Based Zonotopic Data Driven Predictive Control☆11Updated 3 years ago
- Data-Driven Predictive Control☆80Updated last year
- This project is source code of paper Deep DeePC: Data-enabled predictive control with low or no online optimization using deep learning b…☆29Updated last year
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆26Updated 3 years ago
- A wrapped package for Data-enabled predictive control (DeePC) implementation. Including DeePC and Robust DeePC design with multiple objec…☆22Updated last year
- ☆26Updated last year
- Data-enabled predictive control (DeePC) implementation using MATLAB☆34Updated 2 years ago
- a repository of the codes related with the paper published in the journal paper (check the readme file).☆20Updated 5 years ago
- Neural Lyapunov control of unknown nonlinear systems with stability guarantees☆15Updated 2 years ago
- Robust model predictive control of uncertain linear dynamical systems subject to polytopic model uncertainty and additive disturbances.☆18Updated 2 years ago
- Tube based Model Predictive Control that utilize Neural Networks to improve performance with adaptive control inputs.☆21Updated 4 years ago
- This is the MATLAB code for article "Static Output Feedback Data-Driven Control for Unknown Discrete-Time Linear Switched Systems"☆10Updated 4 years ago
- All the code needed to learn models from data using Koopman operator approach.☆13Updated 6 years ago
- Code associated with the ADCHEM 2021 Workshop on Machine Learning and Model Predictive Control☆16Updated 4 years ago
- ☆15Updated 2 years ago
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆66Updated 2 years ago
- Implement SLS MPC for linear systems subject to polytopic model uncertainty and additive disturbances.☆28Updated last year
- A collection of code examples for different Data-driven Predictive Control algorithms applied to LTI systems.☆20Updated last year
- Relevant codes of the paper ``Adaptive Parameterized Model Predictive Control Based on Reinforcement Learning: A Synthesis Framework"☆15Updated last year
- 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
- A simple robust MPC for linear systems with model mismatch: Balancing conservatism vs computational complexity☆31Updated 3 years ago
- The code accompanies the publication "Feedback Linearization based on Gaussian Processes with event-triggered Online Learning" by Jonas U…☆48Updated 4 years ago
- Robust MPC for Linear Systems with Parametric and Additive Uncertainty☆26Updated 3 years ago
- Apply the Bayesian Optimization for tuning the MPC Controller's hyperparameters☆18Updated 3 years ago
- Robust model predictive control of discrete-time time-delay systems using System Level Synthesis (linear time-varying state feedback cont…☆14Updated 3 years ago
- ☆10Updated 3 years ago
- Learning-Based Efficient Approximation of Data-Enabled Predictive Control☆15Updated last year