Author(s) :
Michael Hinze
,
Martin Kunkel
,
Andreas Steinbrecher
,
Tatjana Stykel
Preprint series of the Institute of Mathematics, Technische Universität Berlin
Preprint 11-2011
MSC 2000
- 37L65 Special approximation methods
-
94C99 None of the above, but in this section
Abstract :
We consider model order reduction of integrated circuits with semiconductor devices. Such circuits are modeled using modified nodal analysis by differential-algebraic equations coupled with the nonlinear drift-diffusion equations. A~spatial discretization of these equations with a~mixed finite element method yields a~high dimensional nonlinear system of differential-algebraic equations. Balancing-related model reduction is used to reduce the dimension of the decoupled linear network equations, while the semidiscretized semiconductor model is reduced using proper orthogonal decomposition. Since the computational complexity of the reduced-order model through the nonlinearity of the drift-diffusion equations still depends on the number of variables of the full model, we apply the discrete empirical interpolation method to further reduce the computational
complexity. We provide numerical comparisons which demonstrate the performance of the presented model reduction approach.
Keywords :
modified nodal analysis, balanced truncation, differential-algebraic equations, drift-diffusion equations, electronic circuits,model reduction, proper orthogonal decomposition