2025/07/01 by Mohsen Amiri, Mehdi Hosseinzadeh, Amiri, Mohsen +1
Computer Science · Engineering · #Advanced Control Systems Optimization #FOS: Mathematics #Formal Methods in Verification #Modeling and Simulation Systems #Optimization and Control (math.OC)
paper · pdf · doi:10.48550/arxiv.2507.00863
openalex publication_date 2025/07/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.