Python code of the paper "Efficient Calibration of Embedded MPC" (2020 IFAC World Congress) by Marco Forgione, Dario Piga, and Alberto Bemporad
☆26May 5, 2021Updated 5 years ago
Alternatives and similar repositories for efficient-calibration-embedded-MPC
Users that are interested in efficient-calibration-embedded-MPC are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control☆10May 21, 2018Updated 8 years ago
- Python code of the paper Model order reduction of deep structured state-space models: A system-theoretic approach☆14Nov 22, 2024Updated last year
- Python code of the paper "Model structures and fitting criteria for system identification with neural networks" by Marco Forgione and Dar…☆20Sep 2, 2021Updated 4 years ago
- Approximate Multiparametric Mixed-integer Convex Programming☆15May 16, 2019Updated 7 years ago
- This repo is for developing a Koopman operator based MPC for autonomous vehicles.☆21Dec 12, 2022Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Orientation estimation for IMUs using multi-kernel maximum Correntropy Kalman filter☆12Sep 7, 2022Updated 3 years ago
- Code for CDC2022 submission☆11Sep 1, 2025Updated last year
- "dynoNet: A neural network architecture for learning dynamical systems" by Marco Forgione and Dario Piga☆49May 31, 2024Updated 2 years ago
- ☆23Jul 30, 2021Updated 5 years ago
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆28Mar 30, 2022Updated 4 years ago
- A sum-of-squares toolbox for stability analysis☆10Dec 4, 2024Updated last year
- Continuous-time system identification with neural networks☆29Jul 12, 2025Updated last year
- All the code needed to learn models from data using Koopman operator approach.☆13Apr 18, 2019Updated 7 years ago
- This is a Python realization for Milan Korda and Igor Mezic's paper Linear predictors for nonlinear dynamical systems: Koopman operator m…☆14Apr 5, 2023Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Code to reproduce the results of the paper In-context learning for model-free system identification☆19Jul 31, 2024Updated 2 years ago
- Codes accompanying the paper "Deep learning with transfer functions: new applications in system identification"☆23Dec 30, 2023Updated 2 years ago
- a repository of the codes related with the paper published in the journal paper (check the readme file).☆20Aug 5, 2020Updated 6 years ago
- System identification in PyTorch☆27Mar 31, 2023Updated 3 years ago
- DL-MPC(deep learning model predictive control) is a software toolkit developed based on the Python and TensorFlow frameworks, designed to…☆43Mar 31, 2025Updated last year
- ☆83May 3, 2018Updated 8 years ago
- Rule based strategy for energy management of Hybrid Electric Vehicle in Simulink☆40Jul 5, 2020Updated 6 years ago
- IIB Master's Project: Deep Learning for Koopman Optimal Predictive Control☆53Nov 15, 2020Updated 5 years ago
- Distributed DeeP-LCC for CAV cooperation in mixed traffic☆13Oct 24, 2022Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Codebase for generating linear/bilinear/nonlinear Koopman model realizations from data and constructing MPC controllers.☆31Sep 20, 2021Updated 4 years ago
- Implementation of model predictive control using STM32F407 microcontroller on an inverted pendulum system☆19Jun 18, 2019Updated 7 years ago
- ☆29Jan 12, 2022Updated 4 years ago
- This Repository contains the matlab codes to generate the figures in Chapter 4 of the book "Demand Response in Smart Grids".☆15Oct 12, 2019Updated 6 years ago
- Implement SLS MPC for linear systems subject to polytopic model uncertainty and additive disturbances.☆28May 3, 2024Updated 2 years ago
- Optimal Energy Flow in Integrated Electricity and Gas Systems With Injection of Alternative Gas☆20Mar 11, 2026Updated 5 months ago
- GLIS package☆35Mar 3, 2023Updated 3 years ago
- Implementation/experiments for L4DC 2020 submission "Optimal Cost Design for Model Predictive Control"☆11Apr 23, 2021Updated 5 years ago
- A Model Predictive Control (MPC) Python library based on the OSQP solver.☆241Jul 19, 2021Updated 5 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Economic tuning of tracking (N)MPC problems.☆48May 26, 2025Updated last year
- Model predictive control–based value estimation for efficient reinforcement learning. This repository contains the code for the implement…☆12Nov 6, 2024Updated last year
- A repo to house the code for the submission "Multi-Rate Planning and Control of Uncertain Nonlinear Systems: Model Predictive Control and…☆13Jun 9, 2025Updated last year
- Bi-Level Optimization Augmented with Conditional Variational Autoencoder for Autonomous Driving in Dense Traffic☆16Jun 27, 2023Updated 3 years ago
- An optimized, easy-to-use functional style motion planning library written in C++. Developed in lab with Prof. Tao Gao at UCLA.☆13Aug 16, 2019Updated 7 years ago
- A Python package for linear subspace identification, nonlinear system identification, and nonlinear regression using Jax☆68May 18, 2026Updated 3 months ago
- Primal-Dual Policy Learning Simple Example☆15Apr 12, 2021Updated 5 years ago