System identification for black-box macro-modeling with Loewner matrix framework

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.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Electrical & Computer Engr

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2017

Author dc:creator

• Nguyen, Thong Nhu

Contributors dc:contributor

• Schutt-Ainé, José E.

• Loewner matrix
• Macro-model
• Macro-modeling
• Black-box
• Behavioral simulation

Statement dc:rights

• Copyright 2017 Thong Nguyen

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/97683

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/97683