StefanoGioia / Data-Enabled-Predictive-Control-DeePC-implementation
☆13Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for Data-Enabled-Predictive-Control-DeePC-implementation
- Data-enabled predictive control (DeePC) implementation using MATLAB☆16Updated last year
- code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"☆13Updated last year
- Software for Data-driven Model Predictive Control of 3-DoF Helicopters☆12Updated last year
- ☆13Updated last year
- J. Berberich, J. Köhler, M. A. Müller and F. Allgöwer, "Data-Driven Model Predictive Control With Stability and Robustness Guarantees," i…☆36Updated 11 months ago
- Data-Driven Predictive Control☆56Updated 8 months ago
- Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020☆16Updated 4 years ago
- This is a Python realization for Milan Korda and Igor Mezic's paper Linear predictors for nonlinear dynamical systems: Koopman operator m…☆9Updated last year
- ☆11Updated 8 months ago
- Implement SLS MPC for linear systems subject to polytopic model uncertainty and additive disturbances.☆25Updated 6 months ago
- This is the MATLAB code for tube robust MPC with uncertainty quantification☆22Updated 7 months ago
- Codebase for generating linear/bilinear/nonlinear Koopman model realizations from data and constructing MPC controllers.☆17Updated 3 years ago
- Tube based Model Predictive Control that utilize Neural Networks to improve performance with adaptive control inputs.☆15Updated 2 years ago
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆23Updated 2 years ago
- Data Driven Model Predictive Control using Gaussian Processes☆10Updated 2 months ago
- Robust model predictive control of uncertain linear dynamical systems subject to polytopic model uncertainty and additive disturbances.☆17Updated last year
- Introduction to Reinforcement Learning and Model Predictive Control with MATLAB and Simulink☆17Updated last year
- Supplemental code for "Auto-Generation of Mission-Oriented Robot Controllers Using Bayesian-Based Koopman Operator"☆11Updated last year
- 关于tube based MPC论文D. Q. Mayne, M. M. Seron, and S. V. Raković, “Robust model predictive control of constrained linear systems with bounde…☆41Updated last week
- A simple robust MPC for linear systems with model mismatch: Balancing conservatism vs computational complexity☆26Updated 2 years ago
- A wrapped package for Data-enabled predictive control (DeePC) implementation. Including DeePC and Robust DeePC design with multiple objec…☆13Updated 3 weeks ago
- Develop a Koopman operator based MPC for controlling a quadrotor☆42Updated last month
- All the code needed to learn models from data using Koopman operator approach.☆10Updated 5 years ago
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆20Updated 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
- Solving a constrained robust optimal control problem with uncertain neural network dynanmics through convex optimization.☆11Updated 10 months ago
- The reproduction of tube-based MPC for nonlinear systems☆38Updated 6 months ago
- a repository of the codes related with the paper published in the journal paper (check the readme file).☆17Updated 4 years ago
- This repo is for developing a Koopman operator based MPC for autonomous vehicles.☆13Updated last year
- Code associated with the ADCHEM 2021 Workshop on Machine Learning and Model Predictive Control☆14Updated 3 years ago