zhou-yh19 / redpcLinks
Learning-Based Efficient Approximation of Data-Enabled Predictive Control
☆14Updated last year
Alternatives and similar repositories for redpc
Users that are interested in redpc are comparing it to the libraries listed below
Sorting:
- A wrapped package for Data-enabled predictive control (DeePC) implementation. Including DeePC and Robust DeePC design with multiple objec…☆21Updated 9 months ago
- This project is source code of paper Deep DeePC: Data-enabled predictive control with low or no online optimization using deep learning b…☆20Updated 9 months ago
- code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"☆17Updated 2 years ago
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆23Updated 2 years ago
- Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020☆21Updated 5 years ago
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆27Updated 3 years ago
- [L4DC 2025] Automatic hyperparameter tuning for DeePC. Built by Michael Cummins at the Automatic Control Laboratory, ETH Zurich.☆22Updated last week
- Data-enabled predictive control (DeePC) implementation using MATLAB☆28Updated last year
- Neural Lyapunov control of unknown nonlinear systems with stability guarantees☆15Updated 2 years ago
- ☆15Updated 2 years ago
- Python library that implements DeePC: Data-Enabled Predictive Control☆78Updated 11 months ago
- ☆14Updated 5 years ago
- This is the MATLAB code for article "Static Output Feedback Data-Driven Control for Unknown Discrete-Time Linear Switched Systems"☆10Updated 3 years ago
- A collection of code examples for different Data-driven Predictive Control algorithms applied to LTI systems.☆17Updated last year
- ☆24Updated last year
- Code needed to reproduce the examples in "Data-driven System Level Synthesis" by Anton Xue and Nikolai Matni.☆11Updated 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
- Python library that implements ZPC: Zonotopic Data-Driven Predictive Control.☆11Updated 3 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…☆19Updated last year
- A dual-control effect preserving formulation for nonlinear output-feedback stochastic model predictive control with constraints☆14Updated last year
- a repository of the codes related with the paper published in the journal paper (check the readme file).☆19Updated 5 years ago
- A CSTR example is used to illustrate the application of LMPC using RNN models to maintain the closed-loop state within the stability regi…☆13Updated last year
- This repository provides codes in MATLAB for computing data-driven backward reachable sets and set-theoretic model predictive control (ST…☆10Updated 2 years ago
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆65Updated 2 years ago
- Synthesis of control barrier functions with SOS☆14Updated 2 years ago
- This repository contains the code for the method presented in the paper "Safe Data-Driven Model Predictive Control of Systems with Comple…☆12Updated 2 years ago
- ☆11Updated last year
- Robust MPC for Linear Systems with Parametric and Additive Uncertainty☆25Updated 3 years ago
- Apply the Bayesian Optimization for tuning the MPC Controller's hyperparameters☆18Updated 3 years ago
- This approach is used to solve data-driven optimal control problems by providing a Koopman operator based convex formulation☆11Updated last year