Identification of Linear Objects with Bounded Disturbances in Both Input and Output Channels

Merkuryev, Y. A.

doi:10.1007/978-1-4757-9545-5_19

Y. A. Merkuryev⁵

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Abstract

The problem under consideration is to identify an object that is described by a linear equation

$$ y = {a_1}{x_1} + \ldots + {a_n}{x_n}, $$

((19.1))

where x ₁..., x _n are input scalar signals, y is an output scalar signal, and a ₁,..., a _n are the model coefficients, which must be estimated.

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Authors and Affiliations

Riga Technical University, LV-1658, Riga, Latvia
Y. A. Merkuryev

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Y. A. Merkuryev
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Editors and Affiliations

Dipartimento di Automatica e Informatica, Politecnico di Torino, Torino, 10129, Italy
Mario Milanese
School of Electronic and Electrical Engineering, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
John Norton
Direction des Études de Synthèse, SM Office National d’Études et de Recherches Aérospatiales, Châtillon Cedex, F-92322, France
Hélène Piet-Lahanier
Laboratoire des Signaux et Systèmes, CNRS-École Supérieure d’Électricité, Gif-sur-Yvette Cedex, 91192, France
Éric Walter

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Merkuryev, Y.A. (1996). Identification of Linear Objects with Bounded Disturbances in Both Input and Output Channels. In: Milanese, M., Norton, J., Piet-Lahanier, H., Walter, É. (eds) Bounding Approaches to System Identification. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-9545-5_19

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DOI: https://doi.org/10.1007/978-1-4757-9545-5_19
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4757-9547-9
Online ISBN: 978-1-4757-9545-5
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