1,720,993 research outputs found
Parametric macromodeling based on amplitude and frequency scaled systems with guaranteed passivity
No full text"We propose a novel parametric macromodeling method for systems described by scattering parameters, which depend on multiple design variables such as geometrical layout or substrate features. It is able to build accurate multivariate macromodels that are stable and passive over the entire design space. Poles and residues are parameterized indirectly. The proposed method is based on an efficient and reliable combination of rational identification, a procedure to find amplitude and frequency scaling system coefficients and positive interpolation schemes. Pertinent numerical examples validate the proposed parametric macromodeling technique. Copyright (C) 2011 John Wiley & Sons, Ltd. RI Dhaene, Tom\/A-4541-2009 OI Dhaene, Tom\/0000-0003-2899-4636
Passivity-Preserving Parametric Macromodeling for Highly Dynamic Tabulated Data Based on Lur'e Equations
No full textWe present a new method for the construction of parametric macromodels for admittance and impedance input-output representations starting from multivariate data samples that depend on frequency and additional design variables such as geometric and material parameters. Poles and residues are parameterized indirectly, while stability and passivity of the parametric macromodel are guaranteed over a user defined range of design parameter values. Pertinent numerical examples validate the proposed parametric macromodeling approach
Scalable compact models for fast design optimization of complex electromagnetic systems
No full textWe propose a new parametric macromodeling technique for complex electromagnetic (EM) systems described by scattering parameters, which are parameterized by multiple design variables such as layout or substrate feature. The proposed technique is based on an efficient and reliable combination of rational identification, a procedure to find scaling and frequency shifting system coefficients, and positive interpolation schemes. Parametric macromodels can be used for efficient and accurate design space exploration and optimization. A design optimization example for a complex EM system is used to validate the proposed parametric macromodeling technique in a practical design process flow. (c) 2011 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2012
Compact and Accurate Models of Large Single-Wall Carbon-Nanotube Interconnects
No full text"\"Single-wall carbon nanotubes (SWCNTs) have been proposed for very large scale integration interconnect applications and their modeling is carried out using the multiconductor transmission line (MTL) formulation. Their time-domain analysis has some simulation issues related to the high number of SWCNTs within each bundle, which results in a highly complex model and loss of accuracy in the case of long interconnects. In recent years, several techniques have been proposed to reduce the complexity of the model whose accuracy decreases as the interconnection length increases. This paper presents a rigorous new technique to generate accurate reduced-order models of large SWCNT interconnects. The frequency response of the MTL is computed by using the spectral form of the dyadic Green's function of the 1-D propagation problem and the model complexity is reduced using rational-model identification techniques. The proposed approach is validated by numerical results involving hundreds of SWCNTs, which confirm its capability of reducing the complexity of the model, while preserving accuracy over a wide frequency range.\"
Guaranteed Passive Parameterized Model Order Reduction of the Partial Element Equivalent Circuit (PEEC) Method
No full textThe decrease of IC feature size and the increase of operating frequencies require 3-D electromagnetic methods, such as the partial element equivalent circuit (PEEC) method, for the analysis and design of high-speed circuits. Very large systems of equations are often produced by 3-D electromagnetic methods. During the circuit synthesis of large-scale digital or analog applications, it is important to predict the response of the system under study as a function of design parameters, such as geometrical and substrate features, in addition to frequency (or time). Parameterized model order reduction (PMOR) methods become necessary to reduce large systems of equations with respect to frequency and other design parameters. We propose an innovative PMOR technique applicable to PEEC analysis, which combines traditional passivity-preserving model order reduction methods and positive interpolation schemes. It is able to provide parametric reduced-order models, stable, and passive by construction over a user-defined range of design parameter values. Numerical examples validate the proposed approach
Parameterized model order reduction with guaranteed passivity for PEEC Circuit analysis
No full textWe present a novel parameterized model order reduction technique applicable to the Partial Element Equivalent Circuit analysis 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. This new parameterized model order reduction technique is based on the hybridization of traditional passivity-preserving model order reduction methods and interpolation schemes based on a class of positive interpolation operators, in order to guarantee overall stability and passivity of the parametric reduced order model. Pertinent numerical examples validate the proposed approach
Parametric macromodeling for S-parameter data based on internal nonexpansivity
No full textWe propose a novel parametric macromodeling method for systems described by scattering parameters, which depend on multiple design variables such as geometrical layout or substrate features. The new concept of internal nonexpansivity for bounded real systems is introduced. It is used in combination with suitable interpolation schemes to interpolate a set of state-space matrices, and hence poles and residues indirectly, to build accurate parametric macromodels. Stability and passivity are guaranteed by construction over the design space of interest. Pertinent numerical examples validate the proposed parametric macromodeling method. Copyright (C) 2012 John Wiley & Sons, Ltd. RI Dhaene, Tom/A-4541-2009 OI Dhaene, Tom/0000-0003-2899-463
Parameterized models for crosstalk analysis in high-speed interconnects
No full textWe present a new parametric macromodeling technique for lossy and dispersive multiconductor transmission lines (MTLs), that is suitable to interconnect modeling. It is based on a recently introduced spectral approach for the analysis of lossy and dispersive MTLs extended by utilizing the Multivariate Orthonormal Vector Fitting (MOVF) technique to build parametric macromodels in a rational form. They can handle design parameters, such as substrate or geometrical layout features, in addition to frequency. The presented technique is suited to generate state-space models and synthesize equivalent circuits, which can be easily embedded into conventional SPICE-like solvers. Parametric macromodels allow to carry out design space exploration, design optimization and crosstalk analysis efficiently. A numerical example validates the proposed approach in both frequency and time domain and is focused on the crosstalk analysis
Physics-Based Passivity-Preserving Parameterized Model Order Reduction for PEEC Circuit Analysis
No full textParameterized macromodels of multiconductor transmission lines
No full textWe introduce a novel parametrization scheme for lossy and dispersive multiconductor transmission lines (MTLs) having a cross-section depending on geometrical and physical parameters, that is suitable to interconnect modeling. The proposed approach is based on the dyadic Green's function method for the analysis of lossy and dispersive MTLs which is parameterized by using the Multivariate Orthonormal Vector Fitting (MOVF) technique to build parametric macromodels in a rational form. Design parameters, such as substrate or geometrical layout features, in addition to frequency, can be easily handled. The rational form of the multi-port macromodel describing the MTL is a direct consequence of the MOVF technique and is especially suited to generate state-space macromodels or to be synthesized into equivalent circuits, which can be easily embedded into conventional SPICE-like solvers. A numerical example is presented providing evidence of the accuracy of the proposed approach in both frequency and time-domain
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