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Cited by 1,744

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System identification

Warwick, K.·1988·Industrial Digital Control Systems

Abstract

In the majority of physical sciences of primary importance in the study of system behaviour, prediction and design is the formulation of a mathematical model which describes the system under consideration. The class and accuracy of a particular model is, however, dependent on its required application.

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Metadata

Authors
Warwick, K.
Venue
Industrial Digital Control Systems
Published
1988-01-01
Pages
138-167
OpenAlex
W4232239282
Cited by
1,744
References
0
FWCI
88.46
Type
book chapter
Language
en
Open access
closed

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CoChat. (2026). Citation check: System identification. https://app.cochat.ai/papers/10.1049/pbce037e_ch6
The paper
Warwick, K. (1988). System identification. Industrial Digital Control Systems. https://doi.org/10.1049/pbce037e_ch6

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.