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  4. Joint model and scheduling order reduction via balanced truncation for parameter-varying spatially interconnected systems
 
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Joint model and scheduling order reduction via balanced truncation for parameter-varying spatially interconnected systems

Publikationstyp
Conference Paper
Date Issued
2016-07-28
Sprache
English
Author(s)
Al-Taie, Fatimah  
Liu, Qin  
Werner, Herbert  
Institut
Regelungstechnik E-14  
TORE-URI
http://hdl.handle.net/11420/5354
Volume
2016
Start Page
4331
End Page
4337
Article Number
7525603
Citation
Proceedings of the American Control Conference (2016-July): 7525603, 4331-4337 (2016-07-28)
Contribution to Conference
American Control Conference, ACC 2016  
Publisher DOI
10.1109/ACC.2016.7525603
Scopus ID
2-s2.0-84992126839
This paper presents a balanced truncation technique for model and scheduling order-reduction (i.e. reduction of number of states as well as of scheduling parameters) of exponentially stable temporal- and spatial-LPV interconnected systems. The reduction is based on the application of the full block S-procedure, using both Constant Gramians (CGs) and Parameter-Dependent Gramians (PDGs). The reduced models preserve exponential stability and the spatial structure of the system. The proposed method is demonstrated on an experimentally identified spatially interconnected model of an actuated beam.
DDC Class
600: Technik
620: Ingenieurwissenschaften
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