Efficiently computing the cyclic output-to-output gain

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Authors: Daniel Arnström, André M.H. Teixeira
Cited by: 1
References: 14

Abstract

The cyclic output-to-output gain is a security metric for control systems. Commonly, it is computed by solving a semi-definite program, which scales badly and inhibits its use for large-scale systems. We propose a method for computing the cyclic output-to-output gain using Hamiltonian matrices, similar to existing methods for the H ∞ -norm. In contrast to existing methods for the H ∞ -norm, the proposed method considers generalized singular values rather than regular singular values. Moreover, to ensure existence of the Hamiltonian matrices, we introduce a regularized version of the cyclic output-to-output gain. Through numerical experiments, we show that the proposed method is more efficient, scalable, and reliable than semi-definite programming approaches.

Fields of Study & Subjects

Low-power high-performance VLSI design Advanced Memory and Neural Computing Analog and Mixed-Signal Circuit Design

Publication details

Journal / source
Systems & Control Letters
Publisher
Elsevier BV
Volume
213
Pages
106430–106430
Publication date
31 March 2026
Language
EN