Duality bounds for discrete-time Zames-Falb multipliers

Fuente: arXiv
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Auteurs principaux: Zhang, Jingfan, Carrasco, Joaquin, Heath, William
Format: Preprint
Publié: 2020
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author Zhang, Jingfan
Carrasco, Joaquin
Heath, William
author_facet Zhang, Jingfan
Carrasco, Joaquin
Heath, William
contents We develop phase limitations for the discrete-time Zames-Falb multipliers based on the separation theorem for Banach spaces. By contrast with their continuous-time counterparts they lead to numerically efficient results that can be computed either in closed form or via a linear program. The closed-form phase limitations are tight in the sense that we can construct multipliers that meet them with equality. We discuss numerical examples where the limitations are stronger than others in the literature. The numerical results complement searches for multipliers in the literature; they allow us to show, by construction, that the set of plants for which a suitable Zames-Falb multiplier exists is non-convex.
format Preprint
id arxiv_https___arxiv_org_abs_2008_11975
institution arXiv
publishDate 2020
record_format arxiv
spellingShingle Duality bounds for discrete-time Zames-Falb multipliers
Zhang, Jingfan
Carrasco, Joaquin
Heath, William
Optimization and Control
Systems and Control
We develop phase limitations for the discrete-time Zames-Falb multipliers based on the separation theorem for Banach spaces. By contrast with their continuous-time counterparts they lead to numerically efficient results that can be computed either in closed form or via a linear program. The closed-form phase limitations are tight in the sense that we can construct multipliers that meet them with equality. We discuss numerical examples where the limitations are stronger than others in the literature. The numerical results complement searches for multipliers in the literature; they allow us to show, by construction, that the set of plants for which a suitable Zames-Falb multiplier exists is non-convex.
title Duality bounds for discrete-time Zames-Falb multipliers
topic Optimization and Control
Systems and Control
url https://arxiv.org/abs/2008.11975