zhou-yh19 / redpc
Learning-Based Efficient Approximation of Data-Enabled Predictive Control
☆11Updated last year
Alternatives and similar repositories for redpc:
Users that are interested in redpc are comparing it to the libraries listed below
- A wrapped package for Data-enabled predictive control (DeePC) implementation. Including DeePC and Robust DeePC design with multiple objec…☆18Updated 4 months ago
- code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"☆15Updated 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
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆26Updated 3 years ago
- ☆16Updated 2 years ago
- Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020☆20Updated 5 years ago
- Data-enabled predictive control (DeePC) implementation using MATLAB☆24Updated last year
- ☆8Updated 2 years ago
- ☆14Updated 4 years ago
- A collection of code examples for different Data-driven Predictive Control algorithms applied to LTI systems.☆12Updated 7 months ago
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆22Updated 2 years ago
- ☆9Updated 8 months ago
- Automatic hyperparameter tuning for DeePC. Built by Michael Cummins at the Automatic Control Laboratory, ETH Zurich.☆17Updated 4 months ago
- A dual-control effect preserving formulation for nonlinear output-feedback stochastic model predictive control with constraints☆14Updated 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
- ☆16Updated 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…☆14Updated last year
- Data Driven Model Predictive Control using Gaussian Processes☆19Updated 7 months ago
- This is the MATLAB code for article "Static Output Feedback Data-Driven Control for Unknown Discrete-Time Linear Switched Systems"☆9Updated 3 years ago
- Robust MPC for Linear Systems with Parametric and Additive Uncertainty☆24Updated 3 years ago
- ☆22Updated 4 years ago
- Neural Lyapunov control of unknown nonlinear systems with stability guarantees☆13Updated 2 years ago
- ☆13Updated last year
- Robust model predictive control of uncertain linear dynamical systems subject to polytopic model uncertainty and additive disturbances.☆17Updated 2 years ago
- Solving a constrained robust optimal control problem with uncertain neural network dynanmics through convex optimization.☆11Updated last year
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆50Updated 2 years ago
- Code associated with the ADCHEM 2021 Workshop on Machine Learning and Model Predictive Control☆15Updated 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…☆11Updated 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…☆11Updated 2 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…☆11Updated 7 months ago