On the exponential convergence of input-output signals of nonlinear feedback systems

Fuente: arXiv
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Autori principali: Su, Lanlan, Zhao, Di, Khong, Sei Zhen
Natura: Preprint
Pubblicazione: 2022
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author Su, Lanlan
Zhao, Di
Khong, Sei Zhen
author_facet Su, Lanlan
Zhao, Di
Khong, Sei Zhen
contents This note studies the exponential convergence of input-output signals of discrete-time nonlinear systems composed of a feedback interconnection of a linear time-invariant system and a nonlinear uncertainty. Both the open-loop subsystems are allowed to be unbounded. Integral-quadratic-constraint-based conditions are proposed for these uncertain feedback systems, including the Lurye type, to exhibit the property that the endogenous input-output signals enjoy an exponential convergence rate for all initial conditions of the linear time-invariant subsystem. The conditions are established via a combination of tools, including integral quadratic constraints, directed gap, and exponential weightings.
format Preprint
id arxiv_https___arxiv_org_abs_2206_01945
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle On the exponential convergence of input-output signals of nonlinear feedback systems
Su, Lanlan
Zhao, Di
Khong, Sei Zhen
Systems and Control
Optimization and Control
This note studies the exponential convergence of input-output signals of discrete-time nonlinear systems composed of a feedback interconnection of a linear time-invariant system and a nonlinear uncertainty. Both the open-loop subsystems are allowed to be unbounded. Integral-quadratic-constraint-based conditions are proposed for these uncertain feedback systems, including the Lurye type, to exhibit the property that the endogenous input-output signals enjoy an exponential convergence rate for all initial conditions of the linear time-invariant subsystem. The conditions are established via a combination of tools, including integral quadratic constraints, directed gap, and exponential weightings.
title On the exponential convergence of input-output signals of nonlinear feedback systems
topic Systems and Control
Optimization and Control
url https://arxiv.org/abs/2206.01945