This paper presents a MATLAB toolbox for implementing robust-to-early termination model predictive control, abbreviated as REAP, which is designed to ensure a sub-optimal yet feasible solution when MPC computations are prematurely terminated due to limited computational resources. Named REAP-T, this toolbox is a comprehensive, user-friendly, and modular platform that enables users to explore, analyze, and customize various components of REAP for their specific applications. Notable attributes of REAP-T are: (i) utilization of built-in MATLAB functions for defining the MPC problem; (ii) an interactive and intuitive graphical user interface for parameter tuning and visualization; (iii) real-time simulation capabilities, allowing users to observe and understand the real-time behavior of their systems; and (iv) inclusion of real-world examples designed to guide users through its effective use.
@article{arxiv.2507.00863,
title = {REAP-T: A MATLAB Toolbox for Implementing Robust-to-Early Termination Model Predictive Control},
author = {Mohsen Amiri and Mehdi Hosseinzadeh},
journal= {arXiv preprint arXiv:2507.00863},
year = {2025}
}