Model Reduction and Clusterization of Large-Scale Bidirectional Networks

This paper proposes two model reduction methods for large-scale bidirectional networks that fully utilize a network structure transformation implemented as positive tridiagonalization. First, we present a Krylov-based model reduction method that guarantees a specified error precision in terms of the...

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Veröffentlicht in:	IEEE transactions on automatic control 2014-01, Vol.59 (1), p.48-63
Hauptverfasser:	Ishizaki, Takayuki, Kashima, Kenji, Imura, Jun-ichi, Aihara, Kazuyuki
Format:	Artikel
Sprache:	eng
Schlagworte:	Approximation error Finite wordlength effects Krylov projection method model reduction network clustering network systems Network topology Reduced order systems Symmetric matrices Vectors
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