NDLI: SPARE - a Scalable algorithm for passive, structure preserving, Parameter-Aware model order REduction

Content Provider	IEEE Xplore Digital Library
Author	Villena, J.F. Silveira, L.M.
Copyright Year	2008
Description	Author affiliation: INESC ID/IST, Tech. Univ. Lisbon, Lisbon (Villena, J.F.; Silveira, L.M.)
Abstract	In this paper we describe a flexible and efficient new algorithm for model order reduction of parameterized systems. The method is based on the reformulation of the parametric system as a parallel interconnection of the nominal transfer function and the non-parametric transfer function sensitivities with respect to the parameter variations. Such a formulation reveals an explicit dependence on each parameter which is exploited by reducing each component system independently via a standard non-parametric structure preserving algorithm. Therefore, the resulting smaller size interconnected system retains the structure of the original with respect to parameter dependence. This allows for better accuracy control, enabling independent adaptive order determination with respect to each parameter and adding flexibility in simulation environments. It is shown that the method is efficiently scalable and preserves relevant system properties such as passivity. The new technique can handle fairly large parameter variations on systems whose outputs exhibit smooth dependence on the parameters. Several examples show that besides the added flexibility and control, when compared with competing algorithms, the proposed technique can, in some cases, produce smaller reduced models with potential accuracy gains.
Starting Page	586
Ending Page	591
File Size	250313
Page Count	6
File Format	PDF
ISBN	9783981080131
DOI	10.1109/DATE.2008.4484740
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-03-10
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	European Design Automation Association (EDAA)
Subject Keyword	Transfer functions Frequency Programmable control Adaptive control Sampling methods Solid modeling Interconnected systems Large-scale systems Error analysis Control systems
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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