System identification for black-box macro-modeling with Loewner matrix framework
Nguyen, Thong Nhu
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https://hdl.handle.net/2142/97683
Description
Title
System identification for black-box macro-modeling with Loewner matrix framework
Author(s)
Nguyen, Thong Nhu
Issue Date
2017-04-12
Director of Research (if dissertation) or Advisor (if thesis)
Schutt-Ainé, José E.
Department of Study
Electrical & Computer Eng
Discipline
Electrical & Computer Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
Loewner matrix
Macro-model
Macro-modeling
Black-box
Behavioral simulation
Abstract
Macro-modeling is important to protect intellectual property (IP) for manufacturers. With the current and growing complexity of modern electronics circuitry, algorithms that enable accurate and fast simulation are desirable. Vector fitting has been used in the industry for years for black-box macromodeling. Loewner matrix is newly introduced and appears to be a promisingalgorithm by its capability of handling systems with many ports. This work provides details about the Loewner matrix framework and its current development. Specifically, preparations of interpolation data for calculating Loewner matrices, and how to find the optimal order for the reducedorder model are discussed. Many numerical examples with measurement data will also be provided.
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