A forwarding-based approach for the stabilization of linear systems in the presence of delayed nonlinear actuators

In this paper, we revisit the forwarding approach for the input-to-states stabilization of linear systems subject to external perturbations, input nonlinearities (e.g. saturation and backlash functions), and different input delays. For this problem, we propose a Lyapunov functional analysis in the original coordinates certifying input-to-states stability of the origin with any desired type of convergence (asymptotic, finite-time, fixed-time, etc). At the end, we present some numerical simulations to show the effectiveness of our method and to show that in the linear case we recover the well-known backstepping methodology for delay compensation.

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Published
2024-12-16
DOI
https://doi.org/10.1109/cdc56724.2024.10886591
Primary Topic
Iterative Learning Control Systems
Type
article
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article

A forwarding-based approach for the stabilization of linear systems in the presence of delayed nonlinear actuators

Mathieu Bajodek, Salim Zekraoui, Daniele Astolfi
Iterative Learning Control Systems
article

A forwarding-based approach for the stabilization of linear systems in the presence of delayed nonlinear actuators

Mathieu Bajodek, Salim Zekraoui, Daniele Astolfi
article en

Abstract

In this paper, we revisit the forwarding approach for the input-to-states stabilization of linear systems subject to external perturbations, input nonlinearities (e.g. saturation and backlash functions), and different input delays. For this problem, we propose a Lyapunov functional analysis in the original coordinates certifying input-to-states stability of the origin with any desired type of convergence (asymptotic, finite-time, fixed-time, etc). At the end, we present some numerical simulations to show the effectiveness of our method and to show that in the linear case we recover the well-known backstepping methodology for delay compensation.

Université Claude Bernard Lyon 1 (FR), Centre National de la Recherche Scientifique (FR), Laboratoire d'Automatique, de Génie des Procédés et de Génie Pharmaceutique (FR), École d'Ingénieurs en Chimie et Sciences du Numérique (FR)
Affordable and clean energy
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Iterative Learning Control Systems
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