Reduction of Large Circuit Models Via Low Rank Approximate Gramians

• Autorzy: Li J. R. , White J.
• Języki publikacji: EN

Abstrakty

EN

We describe a model reduction algorithm which is well-suited for the reduction of large linear interconnect models. It is an orthogonal projection method which takes as the projection space the sum of the approximate dominant controllable subspace and the approximate dominant observable subspace. These approximate dominant subspaces are obtained using the Cholesky Factor ADI (CF-ADI) algorithm. We describe an improvement upon the existing implementation of CF-ADI which can result in significant savings in computational cost. We show that the new model reduction method matches moments at the negative of the CF-ADI parameters, and that it can be easily adapted to allow for DC matching, as well as for passivity preservation for multi-port RLC circuit models which come from modified nodal analysis.

Słowa kluczowe

EN

model reduction; Lyapunov equations; Cholesky-Factor ADI; moment matching; passivity

PL

algorytmy; równanie Lyapunova

• Wydawca: Oficyna Wydawnicza Uniwersytetu Zielonogórskiego
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2001
• Tom: Vol. 11, no 5
• Strony: 1151--1171
• Opis fizyczny: Bibliogr. 28 poz., wykr.

Twórcy

autor

Li J. R.

autor

White J.

• Courant Institute of Mathematical Sciences New York University, 251 Mercer Street, Room 1118 New York, NY 10012-1185, U.S.A.,