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Identification of linear parameter-varying systems via IO and subspace identification - A comparison
Publikationstyp
Conference Paper
Date Issued
2016-12
Sprache
English
Author(s)
Institut
TORE-URI
Start Page
7147
End Page
7152
Article Number
7799371
Citation
55th IEEE Conference on Decision and Control, CDC 2016
Contribution to Conference
Publisher DOI
Scopus ID
Publisher
IEEE
ISBN
978-1-5090-1837-6
978-1-5090-1838-3
978-1-5090-1844-4
A common challenge associated with designing a Linear Parameter-Varying (LPV) controller for a nonlinear plant is identification of a plant model in state-space form with static parameter dependency. Till date, the two most frequently used methods to solve this problem are special canonical forms of Input-Output (IO) and subspace (SS) identification. This paper compares both identification methods on various criteria with a focus on low-complexity LPV systems. Features of both methods are illustrated by identification results on a simulated MIMO LPV system taken from the literature and by experimental results on the air-path system of a gasoline engine. Finally, some insight into the selection of an identification method for a given model class is provided.
DDC Class
620: Ingenieurwissenschaften