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Automatic Tuning for Data-driven Model Predictive Control
A reliable controller is critical for execution of safe and smooth maneuvers of an autonomous vehicle. The controller must be robust to external disturbances, such as road surface, weather, wind co…
Automatic Tuning for Data-driven Model Predictive Control
This repository contains the code for the method presented in the paper "Safe Data-Driven Model Predictive Control of Systems with Complex Dynamics" by Mitsioni, Tajvar et al.
This repository contains MATLAB implementation of a novel approach to Stochastic Model Predictive Control (SMPC) with online constraint tightening based on machine learning techniques. The framewor…
Code for journal publication 10.1109/OJCSYS.2023.3291596
A data-driven framework for control of nonlinear flows with Koopman Model Predictive Control
A MATLAB implementation of Data-Driven Model Predictive Control (DDMPC) for linear time-invariant (LTI) systems that does not require explicit system identification.
An offical implementation of "Online learning of data-driven controllers for unknown switched linear systems" (Automatica 2022)
Unofficial implementaton of the paper DTC: Deep Tracking Control
机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
Model Predictive Contouring Controller (MPCC) for Autonomous Racing
Code for Data driven discovery of cyber physical systems
Adaptive control for skid-steer robots using GP-enhanced MPPI for robust navigation and obstacle avoidance on diverse terrains.
This repository contains the source code for "Stochastic data-driven model predictive control using Gaussian processes" (SDD-GP-MPC).
J. Berberich, J. Köhler, M. A. Müller and F. Allgöwer, "Data-Driven Model Predictive Control With Stability and Robustness Guarantees," in IEEE Transactions on Automatic Control, vol. 66, no. 4, pp…
Model predictive control based on data-driven model
Data-Driven Predictive Control
Model Predictive Control for autonomous vehicle trajectory tracking control, in Matlab.
Accompanying repository for our work "On the relationship between data-enabled predictive control and subspace predictive control".
Code to reproduce examples in 'Closed-loop data-enabled predictive control' submitted to CDC 2020
code of paper "Robust and kernelized data-enabled predictive control for nonlinear systems"
Learning-Based Efficient Approximation of Data-Enabled Predictive Control
Code for submission to 2024 submission to Automatica titled "Closed-loop Data-enabled Predictive Control and its equivalence with Closed-loop Subspace Predictive Control"