arXiv · 2605.18510
On Piecewise Quadratic Terminal Costs for MPC
Abstract
This paper presents a novel approach to synthesize stabilizing termi- nal ingredients for linear model predictive control (MPC) schemes, with the aim of increasing the region of attraction while reducing suboptimal- ity with respect to the solution of the infinite-horizon optimal control problem. It is based on the construction of a novel terminal region using methods from the field of configuration-constrained polytopic computing, along with a terminal cost that is exactly equal to the infinite-horizon linear-quadratic regulator cost in a nontrivial neighborhood of the steady- state. The practical performance of the controller is illustrated through various case studies, and comparisons with state-of-the-art approaches are presented.
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Sampath Kumar Mulagaleti, Boris Houska, Mario Zanon, Mario E. Villanueva. 2026-05-18. On Piecewise Quadratic Terminal Costs for MPC. https://doi.org/10.1016/j.jprocont.2026.103826
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