forgi86 / efficient-calibration-embedded-MPC
Python code of the paper "Efficient Calibration of Embedded MPC" (2020 IFAC World Congress) by Marco Forgione, Dario Piga, and Alberto Bemporad
☆24Updated 3 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
- Python code for implementing a set of basic robust model predictive control (RMPC) algorithms for linear systems.☆23Updated 2 years ago
- Sampling based GP MPC☆19Updated last month
- ☆17Updated 4 years ago
- Suite of Predictive Controllers for Industrial Embedded Systems. A Matlab toolbox for automatic code generation of solvers for MPC contro…☆16Updated 2 months ago
- This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).☆50Updated last year
- Solving a constrained robust optimal control problem with uncertain neural network dynanmics through convex optimization.☆11Updated last year
- A basic nonlinear model predictive control implementation using Casadi with Unscented Kalman filter state estimation☆50Updated 3 years ago
- This repo is for developing a Koopman operator based MPC for autonomous vehicles.☆14Updated 2 years ago
- Develop a Koopman operator based MPC for controlling a quadrotor☆48Updated 3 months ago
- This is the MATLAB code for tube robust MPC with uncertainty quantification☆24Updated 9 months ago
- All the code needed to learn models from data using Koopman operator approach.☆10Updated 5 years ago
- Stochastic Optimal Control in Robotics Project☆14Updated 5 years ago
- Neural Koopman Lyapunov Control☆21Updated last year
- The code accompanies the publication "Feedback Linearization based on Gaussian Processes with event-triggered Online Learning" by Jonas U…☆40Updated 3 years ago
- a repository of the codes related with the paper published in the journal paper (check the readme file).☆19Updated 4 years ago
- Short example of MPC and specifically stochastic MPC (SMPC) with chance constraints for Matlab.☆58Updated last year
- Tube-certified nonlinear tracking with robust control contraction metrics☆23Updated last year
- Matlab class/functions to simulate a system implementing a control Lyapunov-control barrier function quadratic program controller.☆35Updated last year
- J. Berberich, J. Köhler, M. A. Müller and F. Allgöwer, "Data-Driven Model Predictive Control With Stability and Robustness Guarantees," i…☆40Updated last year
- Code for "Differentially Flat Learning-based Model Predictive Control Using a Stability, State, and Input Constraining Safety Filter"☆20Updated last year
- ☆42Updated 10 months ago
- ☆22Updated 2 years ago
- Automatic hyperparameter tuning for DeePC. Built by Michael Cummins at the Automotaic Control Laboratory, ETH Zurich.☆12Updated last month
- Repository for Koopman based learning and nonlinear control☆38Updated 2 years ago
- A dual-control effect preserving formulation for nonlinear output-feedback stochastic model predictive control with constraints☆14Updated last year
- Code needed to reproduce examples in "Robust Closed-loop Model Predictive Control via System Level Synthesis," by S. Chen, H. Wang, M. Mo…☆28Updated 4 years ago
- Adaptive control-oriented meta-learning for nonlinear systems☆59Updated 3 years ago
- ☆13Updated 7 months ago
- Matlab toolbox for computing terminal costs and sets for stabilizing nonlinear MPC☆15Updated 2 years ago
- This simulation file demonstrates a variant of Robust Tube MPC in which the initial nominal state is a decision variable. Theoretical ba…☆9Updated 11 months ago