Verifying Control Invariance of H-Polytopes is coNP-Complete

We prove that verifying whether an H-polytope is control invariant for a discrete-time linear system with polytopic input constraints is \textsc{coNP}-complete. This establishes a fundamental computational complexity barrier for set-theoretic control. As an immediate consequence, the exact computation of maximal control invariant subsets of H-polytopes is \textsc{coNP}-hard. These hardness results hold regardless of whether the input constraint set is given in H- or V-representation.

Authors

Publication Details

Journal
arXiv (Cornell University)
Published
2026-10-27
DOI
https://doi.org/10.48550/arxiv.2610.36773
Primary Topic
Advanced Control Systems Optimization
Type
preprint
Controls
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preprint

Verifying Control Invariance of H-Polytopes is coNP-Complete

Boris Houska, Mario E. Villanueva
arXiv (Cornell University)
Advanced Control Systems Optimization
preprint

Verifying Control Invariance of H-Polytopes is coNP-Complete

Boris Houska, Mario E. Villanueva
preprint en

Abstract

We prove that verifying whether an H-polytope is control invariant for a discrete-time linear system with polytopic input constraints is \textsc{coNP}-complete. This establishes a fundamental computational complexity barrier for set-theoretic control. As an immediate consequence, the exact computation of maximal control invariant subsets of H-polytopes is \textsc{coNP}-hard. These hardness results hold regardless of whether the input constraint set is given in H- or V-representation.

arXiv (Cornell University)
Advanced Control Systems Optimization
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Verifying Control Invariance of H-Polytopes is coNP-Complete — Boris Houska, Mario E. Villanueva · arXiv (Cornell University) (2026) | TGRS Research Map | TGRS