We study the mixed-integer quadratic programming formulation of an n-period hybrid control problem with a convex quadratic cost function and linear dynamics. We first give the convex hull description of the single-period, two-mode problem in the original variable space through two new classes of valid cuts. These cuts are then generalized to the single-period, multi-mode, multi-dimensional case and applied to solve the general n-period hybrid control problem. Computational experiments demonstrate the effectiveness of the proposed strong formulations derived through the cut generation process in the original variable space. These formulations yield a substantial reduction in computational effort for synthetic test instances and instances from the energy management problem of a power-split hybrid electric vehicle.
@article{arxiv.2412.11541,
title = {Strong Formulations for Hybrid System Control},
author = {Jisun Lee and Hyungki Im and Alper Atamtürk},
journal= {arXiv preprint arXiv:2412.11541},
year = {2024}
}