Electromagneticmodel order reduction for system-level modeling

Andreas C. Cangellaris; Mustafa Celik; Soheila Pasha; Li Zhao

doi:10.1109/22.769317

Electromagneticmodel order reduction for system-level modeling

Andreas C. Cangellaris, Mustafa Celik, Soheila Pasha, Li Zhao

Research output: Contribution to journal › Article › peer-review

Abstract

Reduced-order modeling of an electromagnetic system is understood as the approximation of a continuous or discrete model of the system by one of substantially lower order, yet capable of capturing the electromagnetic behavior of the original one with sufficient engineering accuracy. Specific methodologies for model order reduction of distributed electromagnetic systems are discussed in this paper. It is shown that electromagnetic model order reduction enhances computational efficiency and, thus, facilitates system-level modeling and computer simulation of multifunctional systems. The proposed methodologies are demonstrated through applications to the reduced-order modeling of high-speed interconnects, electromagnetic waveguides, and microstrip antennas.

Original language	English (US)
Pages (from-to)	840-850
Number of pages	11
Journal	IEEE Transactions on Microwave Theory and Techniques
Volume	47
Issue number	6 PART 2
DOIs	https://doi.org/10.1109/22.769317
State	Published - 1999

Keywords

Electromagnetic modeling
Electromagnetic transient analysis
Finite-difference methods
Model order reduction
System-level

ASJC Scopus subject areas

Radiation
Condensed Matter Physics
Electrical and Electronic Engineering

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10.1109/22.769317

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abstract = "Reduced-order modeling of an electromagnetic system is understood as the approximation of a continuous or discrete model of the system by one of substantially lower order, yet capable of capturing the electromagnetic behavior of the original one with sufficient engineering accuracy. Specific methodologies for model order reduction of distributed electromagnetic systems are discussed in this paper. It is shown that electromagnetic model order reduction enhances computational efficiency and, thus, facilitates system-level modeling and computer simulation of multifunctional systems. The proposed methodologies are demonstrated through applications to the reduced-order modeling of high-speed interconnects, electromagnetic waveguides, and microstrip antennas.",

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AB - Reduced-order modeling of an electromagnetic system is understood as the approximation of a continuous or discrete model of the system by one of substantially lower order, yet capable of capturing the electromagnetic behavior of the original one with sufficient engineering accuracy. Specific methodologies for model order reduction of distributed electromagnetic systems are discussed in this paper. It is shown that electromagnetic model order reduction enhances computational efficiency and, thus, facilitates system-level modeling and computer simulation of multifunctional systems. The proposed methodologies are demonstrated through applications to the reduced-order modeling of high-speed interconnects, electromagnetic waveguides, and microstrip antennas.

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KW - Finite-difference methods

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KW - System-level

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Electromagneticmodel order reduction for system-level modeling

Abstract

Keywords

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