Model order reduction for strictly passive and causal distributed systems

This paper presents a class of algorithms suitable for model reduction of distributed systems. Distributed systems are not suitable for treatment by standard model-reduction algorithms such as PRIMA, PVL, and the Arnoldi schemes because they generate matrices that are dependent on frequency (or othe...

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Veröffentlicht in:Annual ACM IEEE Design Automation Conference: Proceedings of the 39th conference on Design automation : New Orleans, Louisiana, USA; 10-14 June 2002 S. 46 - 51
Hauptverfasser: Daniel, Luca, Phillips, Joel
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: New York, NY, USA ACM 10.06.2002
Schriftenreihe:ACM Conferences
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ISBN:1581134614, 9781581134612
ISSN:0738-100X
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Zusammenfassung:This paper presents a class of algorithms suitable for model reduction of distributed systems. Distributed systems are not suitable for treatment by standard model-reduction algorithms such as PRIMA, PVL, and the Arnoldi schemes because they generate matrices that are dependent on frequency (or other parameters) and cannot be put in a lumped or state-space form. Our algorithms build on well-known projection-based reduction techniques, and so require only matrix-vector product operations and are thus suitable for operation in conjunction with electromagnetic analysis codes that use iterative solution methods and fast-multipole acceleration techniques. Under the condition that the starting systems satisfy system-theoretic properties required of physical systems, the reduced systems can be guaranteed to be passive. For distributed systems, we argue that causality of the underlying representation is as important a consideration.
Bibliographie:SourceType-Conference Papers & Proceedings-1
ObjectType-Conference Paper-1
content type line 25
ISBN:1581134614
9781581134612
ISSN:0738-100X
DOI:10.1145/513918.513932