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2021 | OriginalPaper | Chapter

Low-Dimensional Decompositions for Nonlinear Finite Impulse Response Modeling

Authors : Maciej Filiński, Paweł Wachel, Koen Tiels

Published in: Computational Science – ICCS 2021

Publisher: Springer International Publishing

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Abstract

This paper proposes a new decomposition technique for the general class of Non-linear Finite Impulse Response (NFIR) systems. Based on the estimates of projection operators, we construct a set of coefficients, sensitive to the separated internal system components with short-term memory, both linear and nonlinear. The proposed technique allows for the internal structure inference in the presence of unknown additive disturbance on the system output and for a class of arbitrary but bounded nonlinear characteristics.
The results of numerical experiments, shown and discussed in the paper, indicate applicability of the method for different types of nonlinear characteristics in the system.

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Metadata
Title
Low-Dimensional Decompositions for Nonlinear Finite Impulse Response Modeling
Authors
Maciej Filiński
Paweł Wachel
Koen Tiels
Copyright Year
2021
Book
Computational Science – ICCS 2021

Print ISBN: 978-3-030-77976-4

Electronic ISBN: 978-3-030-77977-1

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-77977-1_28

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