Using Ramp Functions to solve LP-based MPC

A new solution strategy, utilizing ramp functions, is proposed for solving LP problems arising in Model Predictive Control. The solution strategy can take a general LP formulation, and avoids the increase in optimization variables resulting from converting the LP problem into standard form. Unlike the simplex method, there is no need to find an initial feasible solution. Numerical experiments demonstrate a significant increase in solution speed compared to the previously proposed ramp-based Simplex [1], and compares favorably to a state-of-the-art commercial solver like CPLEX [2] for small to moderately sized problems.

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Publication Details

Published
2025-12-09
DOI
https://doi.org/10.1109/cdc57313.2025.11312455
Primary Topic
Advanced Control Systems Optimization
Type
article
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article

Using Ramp Functions to solve LP-based MPC

Morten Hovd, Giorgio Valmorbida
Advanced Control Systems Optimization
article

Using Ramp Functions to solve LP-based MPC

Morten Hovd, Giorgio Valmorbida
article en

Abstract

A new solution strategy, utilizing ramp functions, is proposed for solving LP problems arising in Model Predictive Control. The solution strategy can take a general LP formulation, and avoids the increase in optimization variables resulting from converting the LP problem into standard form. Unlike the simplex method, there is no need to find an initial feasible solution. Numerical experiments demonstrate a significant increase in solution speed compared to the previously proposed ramp-based Simplex [1], and compares favorably to a state-of-the-art commercial solver like CPLEX [2] for small to moderately sized problems.

Centre National de la Recherche Scientifique (FR), Norwegian University of Science and Technology (NO), CentraleSupélec (FR)
Industry, innovation and infrastructure
Openalex Percentile: Top 34%
Advanced Control Systems Optimization
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