Passive Reduced Order Macromodeling Based on Loewner Matrix Interpolation
| Autor: | Marco T. Kassis, Muhammad Kabir, Yi Qing Xiao, Roni Khazaka |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Flexibility (engineering)
Mathematical optimization Radiation 020209 energy Passivity Process (computing) 020206 networking & telecommunications 02 engineering and technology Condensed Matter Physics Matrix (mathematics) Control theory Frequency domain Convergence (routing) 0202 electrical engineering electronic engineering information engineering Scattering parameters Electrical and Electronic Engineering Interpolation Mathematics |
| Zdroj: | IEEE Transactions on Microwave Theory and Techniques. 64:2423-2432 |
| ISSN: | 1557-9670 0018-9480 |
| DOI: | 10.1109/tmtt.2016.2586481 |
| Popis: | Loewner matrix (LM) interpolation-based macromodeling methods can generate an accurate macromodel for large and complex structures. However, there is less flexibility in the choice of the macromodel order due to the need to ensure passivity. In this paper, an algorithm is proposed to obtain a reduced order model based on LM interpolation while still maintaining the passivity of the macromodel. This is achieved by first relaxing the passivity requirement during the order selection process; then a new passivity enforcement scheme with significantly improved speed and convergence properties is applied. The proposed approach results in a significantly reduced macromodel size while maintaining accuracy and passivity conditions. The efficiency of the new approach is shown in the examples. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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