Zhang-Xuewen / DeePCtools
A wrapped package for Data-enabled predictive control (DeePC) implementation. Including DeePC and Robust DeePC design with multiple objective functions.
☆18Updated 3 months ago
Alternatives and similar repositories for DeePCtools:
Users that are interested in DeePCtools are comparing it to the libraries listed below
- code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"☆15Updated last year
- Data-enabled predictive control (DeePC) implementation using MATLAB☆23Updated last year
- Code for submission to 2024 submission to Automatica titled "Closed-loop Data-enabled Predictive Control and its equivalence with Closed-…☆12Updated 6 months ago
- ☆14Updated 4 years ago
- ☆16Updated 2 years ago
- ☆16Updated last year
- This is the MATLAB code for article "Static Output Feedback Data-Driven Control for Unknown Discrete-Time Linear Switched Systems"☆9Updated 3 years ago
- Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020☆20Updated 4 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…☆14Updated 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…☆14Updated 3 months ago
- Learning-Based Efficient Approximation of Data-Enabled Predictive Control☆11Updated last year
- Robust model predictive control of uncertain linear dynamical systems subject to polytopic model uncertainty and additive disturbances.☆17Updated 2 years ago
- Data Driven Model Predictive Control using Gaussian Processes☆19Updated 6 months ago
- This is a Python realization for Milan Korda and Igor Mezic's paper Linear predictors for nonlinear dynamical systems: Koopman operator m…☆11Updated last year
- A collection of code examples for different Data-driven Predictive Control algorithms applied to LTI systems.☆12Updated 7 months ago
- A data-driven method for linear quadratic control with state and control constraints☆10Updated 2 years ago
- Tube based Model Predictive Control that utilize Neural Networks to improve performance with adaptive control inputs.☆18Updated 3 years ago
- Automatic hyperparameter tuning for DeePC. Built by Michael Cummins at the Automatic Control Laboratory, ETH Zurich.☆17Updated 3 months ago
- ☆9Updated 8 months ago
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆26Updated 3 years ago
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆22Updated 2 years ago
- Robust model predictive control of discrete-time time-delay systems using System Level Synthesis (linear time-varying state feedback cont…☆12Updated 2 years ago
- Codebase for generating linear/bilinear/nonlinear Koopman model realizations from data and constructing MPC controllers.☆20Updated 3 years ago
- Implement SLS MPC for linear systems subject to polytopic model uncertainty and additive disturbances.☆26Updated 10 months ago
- ☆13Updated last year
- Code associated with the ADCHEM 2021 Workshop on Machine Learning and Model Predictive Control☆15Updated 3 years ago
- Introduction to Reinforcement Learning and Model Predictive Control with MATLAB and Simulink☆21Updated last year
- ☆8Updated 2 years ago
- Relevant codes of the paper ``Adaptive Parameterized Model Predictive Control Based on Reinforcement Learning: A Synthesis Framework"☆11Updated last year
- course project: a simple implementation of Q learning and MPC☆17Updated 3 years ago