Enderdead / pyNeuralEMPC
A nonlinear MPC (NMPC) library for using a neural network as model.
☆10Updated 7 months ago
Alternatives and similar repositories for pyNeuralEMPC:
Users that are interested in pyNeuralEMPC are comparing it to the libraries listed below
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆50Updated last year
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆26Updated 3 years ago
- A dual-control effect preserving formulation for nonlinear output-feedback stochastic model predictive control with constraints☆14Updated last year
- Code for the paper, "Industrial, large-scale model predictive control with structured neural networks."☆17Updated 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 last year
- ☆70Updated 6 years ago
- Python code of the paper "Efficient Calibration of Embedded MPC" (2020 IFAC World Congress) by Marco Forgione, Dario Piga, and Alberto Be…☆25Updated 3 years ago
- J. Berberich, J. Köhler, M. A. Müller and F. Allgöwer, "Data-Driven Model Predictive Control With Stability and Robustness Guarantees," i…☆43Updated last year
- Automatic hyperparameter tuning for DeePC. Built by Michael Cummins at the Automatic Control Laboratory, ETH Zurich.☆17Updated 3 months ago
- This is the MATLAB code for tube robust MPC with uncertainty quantification☆32Updated 11 months ago
- Learning-Based Model Predictive Control (LBMPC)☆100Updated 5 years ago
- Implement SLS MPC for linear systems subject to polytopic model uncertainty and additive disturbances.☆26Updated 10 months ago
- The code accompanies the publication "Feedback Linearization based on Gaussian Processes with event-triggered Online Learning" by Jonas U…☆42Updated 3 years ago
- Robust model predictive control of uncertain linear dynamical systems subject to polytopic model uncertainty and additive disturbances.☆17Updated 2 years ago
- Tube based Model Predictive Control that utilize Neural Networks to improve performance with adaptive control inputs.☆18Updated 3 years ago
- Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".☆22Updated 2 years ago
- ☆13Updated last year
- ☆16Updated last year
- Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020☆20Updated 4 years ago
- Apply the Bayesian Optimization for tuning the MPC Controller's hyperparameters☆18Updated 3 years ago
- Implementation of model predictive control using neural network model.☆25Updated 10 months ago
- Data-Driven Predictive Control☆66Updated last year
- Contains simple MPC implementation with neural network learned dynamics.☆15Updated 7 years ago
- This repository contains the source code for “Unscented Kalman filter stochastic nonlinear model predictive control” (UKF-SNMPC).☆59Updated 2 years ago
- code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"☆15Updated last year
- Data-driven Koopman control theory applied to reinforcement learning!☆31Updated last year
- Codebase for generating linear/bilinear/nonlinear Koopman model realizations from data and constructing MPC controllers.☆20Updated 3 years ago
- Data Driven Model Predictive Control using Gaussian Processes☆18Updated 6 months ago
- Python library that implements DeePC: Data-Enabled Predictive Control☆66Updated 5 months ago
- Tube-certified nonlinear tracking with robust control contraction metrics☆25Updated last year