DocumentCode :
1470279
Title :
Stable and efficient reduction of large, multiport RC networks by pole analysis via congruence transformations
Author :
Kerns, Kevin J. ; Yang, Andrew T.
Author_Institution :
Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
Volume :
16
Issue :
7
fYear :
1997
fDate :
7/1/1997 12:00:00 AM
Firstpage :
734
Lastpage :
744
Abstract :
A novel technique is presented which employs pole analysis via congruence transformations (PACT) to reduce RC networks in a well-conditioned manner. Pole analysis is shown to be more efficient than Pade approximations when the number of network ports is large, and congruence transformations preserve the passivity (and thus absolute stability) of the networks. The error incurred by reducing the networks is shown to be bounded by values which are fully selectable by the user. Networks are represented by admittance matrices throughout the analysis, and this representation both simplifies interfacing the reduced networks with circuit simulators and facilitates realization of the reduced networks using RC elements. A prototype SPICE-in, SPICE-out, network reduction CAD tool called RCFIT is detailed, and examples are presented which demonstrate the accuracy and efficiency of the PACT algorithm
Keywords :
RC circuits; SPICE; absolute stability; circuit CAD; circuit analysis computing; circuit stability; electric admittance; multiport networks; passive networks; pole assignment; PACT algorithm; RCFIT; SPICE; absolute stability; admittance matrix; circuit simulator; large multiport RC network; network reduction CAD tool; passivity; pole analysis via congruence transformations; Admittance; Analytical models; Circuit simulation; Circuit stability; Design automation; Parasitic capacitance; Passive networks; Prototypes; Stability analysis; Voltage;
fLanguage :
English
Journal_Title :
Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0070
Type :
jour
DOI :
10.1109/43.644034
Filename :
644034
Link To Document :
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