rssalessio / PyDeePC
Python library that implements DeePC: Data-Enabled Predictive Control
☆57Updated 3 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for PyDeePC
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆19Updated 2 years ago
- We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-infor…☆79Updated last year
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆45Updated last year
- J. Berberich, J. Köhler, M. A. Müller and F. Allgöwer, "Data-Driven Model Predictive Control With Stability and Robustness Guarantees," i…☆33Updated 11 months ago
- Supplemental code for "Auto-Generation of Mission-Oriented Robot Controllers Using Bayesian-Based Koopman Operator"☆11Updated last year
- ☆13Updated 4 years ago
- Codebase for generating linear/bilinear/nonlinear Koopman model realizations from data and constructing MPC controllers.☆17Updated 3 years ago
- code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"☆13Updated last year
- ☆57Updated 6 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
- Data-enabled predictive control (DeePC) implementation using MATLAB☆15Updated 11 months ago
- Soure code for Deep Koopman with Control☆67Updated 2 years ago
- Data-Driven Predictive Control☆55Updated 8 months ago
- ☆11Updated 9 months ago
- ☆20Updated 3 years ago
- A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control☆118Updated 4 years ago
- A wrapped package for Data-enabled predictive control (DeePC) implementation. Including DeePC and Robust DeePC design with multiple objec…☆13Updated 2 weeks ago
- ☆15Updated 3 years ago
- All the code needed to learn models from data using Koopman operator approach.☆10Updated 5 years ago
- Supplemental code for "Data-driven Control of Soft Robots Using Koopman Operator Theory," by Daniel Bruder, Xun Fu, R. Brent Gillespie, C…☆60Updated 4 years ago
- Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020☆15Updated 4 years ago
- Develop a Koopman operator based MPC for controlling a quadrotor☆40Updated 3 weeks ago
- MPC with Gaussian Process☆200Updated 5 years ago
- Repository for Koopman based learning and nonlinear control☆37Updated last year
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆22Updated 2 years ago
- Use PyTorch Models with CasADi and Acados☆198Updated last year
- Model-based Control using Koopman Operators☆46Updated 4 years ago
- Software for Data-driven Model Predictive Control of 3-DoF Helicopters☆12Updated last year
- a repository of the codes related with the paper published in the journal paper (check the readme file).☆17Updated 4 years ago
- Koopman operator☆25Updated 4 years ago