DocumentCode :
1891306
Title :
The enhancing of efficiency of the harmonic balance analysis by adaptation of preconditioner to circuit nonlinearity
Author :
Gourary, M.M. ; Rusakov, S.G. ; Ulyanov, S.L. ; Zharov, M.M. ; Gullapalli, K.K. ; Mulvaney, B.J.
Author_Institution :
IPPM, Acad. of Sci., Moscow, Russia
fYear :
2000
fDate :
9-9 June 2000
Firstpage :
537
Lastpage :
540
Abstract :
Krylov subspace techniques in harmonic balance simulations become increasingly ineffective when applied to strongly nonlinear circuits. This limitation is particularly important in the simulation if the circuit has components being operated in a very nonlinear region. Even if the circuit contains only a few very nonlinear components, Krylov methods using standard preconditioners can become ineffective. To overcome this problem, we present two adaptive preconditioners that dynamically exploit the properties of the harmonic balance Jacobian. With these techniques we have been able to retain the advantages of Krylov methods even for strongly nonlinear circuits. Some numerical experiments illustrating the techniques are presented.
Keywords :
Jacobian matrices; Newton method; circuit simulation; convergence of numerical methods; frequency-domain analysis; nonlinear network analysis; Krylov subspace techniques; Newton iteration; adaptive preconditioners; circuit nonlinearity; computational efficiency; convergence; enhanced efficiency; frequency domain; harmonic balance Jacobian; harmonic balance analysis; harmonic balance simulations; iterative methods; preconditioner adaptation; Circuit analysis; Circuit simulation; Costs; Frequency domain analysis; Harmonic analysis; Iterative methods; Jacobian matrices; Linear systems; Nonlinear circuits; Steady-state;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design Automation Conference, 2000. Proceedings of the ASP-DAC 2000. Asia and South Pacific
Conference_Location :
Yokohama, Japan
Print_ISBN :
0-7803-5973-9
Type :
conf
DOI :
10.1109/ASPDAC.2000.835159
Filename :
835159
Link To Document :
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