Zhang-Xuewen / Deep-DeePC
This project is source code of paper Deep DeePC: Data-enabled predictive control with low or no online optimization using deep learning by X. Zhang, K. Zhang, Z. Li, and X. Yin. The objective of this work is to learn the DeePC operator using a neural network and bypass online optimization of conventional DeePC for efficient online implementatio…
☆15Updated 4 months ago
Alternatives and similar repositories for Deep-DeePC:
Users that are interested in Deep-DeePC are comparing it to the libraries listed below
- code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"☆15Updated last year
- A wrapped package for Data-enabled predictive control (DeePC) implementation. Including DeePC and Robust DeePC design with multiple objec…☆18Updated 4 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
- ☆16Updated last year
- Robust model predictive control of discrete-time time-delay systems using System Level Synthesis (linear time-varying state feedback cont…☆12Updated 2 years ago
- A collection of code examples for different Data-driven Predictive Control algorithms applied to LTI systems.☆13Updated 8 months ago
- Learning-Based Efficient Approximation of Data-Enabled Predictive Control☆11Updated last year
- 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
- ☆9Updated 8 months ago
- Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020☆20Updated 5 years ago
- ☆16Updated 2 years ago
- ☆14Updated 4 years ago
- Robust model predictive control of uncertain linear dynamical systems subject to polytopic model uncertainty and additive disturbances.☆17Updated 2 years ago
- Relevant codes of the paper ``Adaptive Parameterized Model Predictive Control Based on Reinforcement Learning: A Synthesis Framework"☆11Updated 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…☆15Updated last year
- Tube based Model Predictive Control that utilize Neural Networks to improve performance with adaptive control inputs.☆18Updated 3 years ago
- Code associated with the ADCHEM 2021 Workshop on Machine Learning and Model Predictive Control☆15Updated 3 years ago
- course project: a simple implementation of Q learning and MPC☆17Updated 3 years ago
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆26Updated 3 years ago
- Data Driven Model Predictive Control using Gaussian Processes☆19Updated 7 months ago
- Robust MPC for Linear Systems with Parametric and Additive Uncertainty☆24Updated 3 years ago
- Data-enabled predictive control (DeePC) implementation using MATLAB☆24Updated last year
- This repository contains simulation codes generated for the paper titled "Comparative Analysis of Data-Driven Predictive Control Strategi…☆9Updated 2 months ago
- ☆8Updated 2 years ago
- Introduction to Reinforcement Learning and Model Predictive Control with MATLAB and Simulink☆23Updated last year
- My Master Thesis in the area of Data-Driven Control Engineering☆11Updated 3 years ago
- This repository provides codes in MATLAB for computing data-driven backward reachable sets and set-theoretic model predictive control (ST…☆9Updated last year
- Automatic hyperparameter tuning for DeePC. Built by Michael Cummins at the Automatic Control Laboratory, ETH Zurich.☆17Updated 4 months ago
- A data-driven method for linear quadratic control with state and control constraints☆11Updated 2 years ago
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆22Updated 2 years ago