Identification of linear parameter-varying systems via IO and subspace identification - A comparison

Publikationstyp
Conference Paper
Date Issued
2016-12-27
Sprache
English
Author(s)
Schulz, Erik  orcid-logo
Bussa, Ashish  
Werner, Herbert  
Institut
Regelungstechnik E-14  
TORE-URI
http://hdl.handle.net/11420/4905
First published in
Proceedings of the 55th Conference on Decision and Control, CDC 2016  
Start Page
7147
End Page
7152
Article Number
7799371
Citation
IEEE 55th Conference on Decision and Control, CDC 2016
Contribution to Conference
55th IEEE Conference on Decision and Control, CDC 2016  
Publisher DOI
10.1109/CDC.2016.7799371
Scopus ID
2-s2.0-85010749530
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