id: 05991304
dt: j
an: 05991304
au: Ferranti, Francesco; Antonini, Giulio; Dhaene, Tom; Knockaert, Luc
ti: Passivity-preserving interpolation-based parameterized model order
    reduction of PEEC models based on scattered grids.
so: Int. J. Numer. Model. 24, No. 5, 478-495 (2011).
py: 2011
pu: John Wiley \& Sons, Chichester
la: EN
cc: 
ut: partial element equivalent circuit method (PEEC); parameterized model order
    reduction (PMOR); interpolation; passivity; scattered grids
ci: 
li: doi:10.1002/jnm.793
ab: Summary: The increasing operating frequencies and the decreasing IC feature
    size call for 3D electromagnetic (EM) methods, such as the partial
    element equivalent circuit (PEEC) method, as necessary tools for the
    analysis and design of high-speed systems. Very large systems of
    equations are often generated by 3D EM methods and model order
    reduction (MOR) techniques are commonly used to reduce such a high
    model complexity. A typical design process includes optimization and
    design space exploration and hence requires multiple simulations for
    different design parameter values. Traditional MOR techniques perform
    model reduction only with respect to frequency and such design
    activities call for parameterized MOR (PMOR) methods that can reduce
    large systems of equations with respect to frequency and other design
    parameters of the circuit, such as geometrical layout or substrate
    characteristics. We present a novel PMOR technique applicable to the
    PEEC method that provides parametric reduced order models, stable and
    passive by construction, over a user defined design space. We treat the
    construction of parametric reduced order models on scattered design
    space grids. Pertinent numerical examples validate the proposed
    approach.
rv: