Enderdead / pyNeuralEMPCLinks
A nonlinear MPC (NMPC) library for using a neural network as model.
☆10Updated 11 months ago
Alternatives and similar repositories for pyNeuralEMPC
Users that are interested in pyNeuralEMPC are comparing it to the libraries listed below
Sorting:
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆58Updated 2 years ago
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆26Updated 3 years ago
- Dynamical System Identification using python incorporating numerous powerful deep learning methods. (deepSI = deep System Identification)☆58Updated 3 months ago
- [L4DC 2025] Automatic hyperparameter tuning for DeePC. Built by Michael Cummins at the Automatic Control Laboratory, ETH Zurich.☆21Updated 7 months ago
- A dual-control effect preserving formulation for nonlinear output-feedback stochastic model predictive control with constraints☆14Updated last year
- ☆72Updated 7 years ago
- Python library that implements DeePC: Data-Enabled Predictive Control☆72Updated 9 months ago
- Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"☆24Updated 4 years ago
- A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control☆146Updated 5 years ago
- Differentiable predictive control (DPC) policy optimization examples.☆55Updated last year
- Automatic Tuning for Data-driven Model Predictive Control☆67Updated 2 years ago
- Data-Driven Predictive Control☆75Updated last year
- The code accompanies the publication "Feedback Linearization based on Gaussian Processes with event-triggered Online Learning" by Jonas U…☆47Updated 4 years ago
- Learning-Based Model Predictive Control (LBMPC)☆105Updated 6 years ago
- Develop a Koopman operator based MPC for controlling a quadrotor☆63Updated 8 months ago
- Contains simple MPC implementation with neural network learned dynamics.☆16Updated 7 years ago
- We discuss nonlinear model predictive control (NMPC) for multi-body dynamics via physics-informed machine learning methods. Physics-infor…☆113Updated last year
- Solving a constrained robust optimal control problem with uncertain neural network dynanmics through convex optimization.☆11Updated last year
- Neural Koopman Lyapunov Control☆25Updated 2 years ago
- J. Berberich, J. Köhler, M. A. Müller and F. Allgöwer, "Data-Driven Model Predictive Control With Stability and Robustness Guarantees," i…☆59Updated last year
- Code repo for ICLR paper: Optimal Control Via Neural Networks: A Convex Approach☆83Updated 6 years ago
- Code for the paper, "Industrial, large-scale model predictive control with structured neural networks."☆17Updated 3 years ago
- Repository for Koopman based learning and nonlinear control☆45Updated 2 years ago
- Continuous-time system identification with neural networks☆25Updated this week
- Python code of the paper "Efficient Calibration of Embedded MPC" (2020 IFAC World Congress) by Marco Forgione, Dario Piga, and Alberto Be…☆25Updated 4 years ago
- Tube-certified nonlinear tracking with robust control contraction metrics☆26Updated last year
- ☆16Updated 3 years ago
- code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"☆17Updated last year
- ☆14Updated 5 months ago
- Model-based Control using Koopman Operators☆51Updated 5 years ago