In this paper we consider the estimation problem for linear stochastic systems affected by multiple known and time-varying delays on all the output signals. Based on a modification of a previous proposal we prove for the first time the result that a filter based on simple eigenvalue assignment of the closed-loop error system may achieve uniform performance, with respect to the delay bound and estimation variance, in presence of both constant and time-varying delays that are differentiable. A new and simple demonstration technique provides non conservative delay bounds for time-varying delays. A cascaded version of the filter can cope with arbitrarily large delays.

Filtering linear systems with large time-varying measurement delays

Palombo Giovanni
2022

Abstract

In this paper we consider the estimation problem for linear stochastic systems affected by multiple known and time-varying delays on all the output signals. Based on a modification of a previous proposal we prove for the first time the result that a filter based on simple eigenvalue assignment of the closed-loop error system may achieve uniform performance, with respect to the delay bound and estimation variance, in presence of both constant and time-varying delays that are differentiable. A new and simple demonstration technique provides non conservative delay bounds for time-varying delays. A cascaded version of the filter can cope with arbitrarily large delays.
2022
Istituto di Analisi dei Sistemi ed Informatica ''Antonio Ruberti'' - IASI
Filtering
Linear systems
Time-varying delay
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/445077
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