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. (C) 2021 Elsevier Ltd. All rights reserved.
Filtering linear systems with large time-varying measurement delays / Cacace, F; Conte, F; D'Angelo, M; Germani, A; Palombo, G. - In: AUTOMATICA. - ISSN 0005-1098. - 136:(2022). [10.1016/j.automatica.2021.110084]
Filtering linear systems with large time-varying measurement delays
d'Angelo, M;
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. (C) 2021 Elsevier Ltd. All rights reserved.File | Dimensione | Formato | |
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Note: https://doi.org/10.1016/j.automatica.2021.110084
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