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Virginia Tech

An Interpolation-Based Approach to Optimal H<sub>∞</sub> Model Reduction

Abstract

dc:description.abstract

A model reduction technique that is optimal in the H<sub>∞</sub>-norm has long been pursued due to its theoretical and practical importance. We consider the optimal H<sub>∞</sub> model reduction problem broadly from an interpolation-based approach, and give a method for finding the approximation to a state-space symmetric dynamical system which is optimal over a family of interpolants to the full order system. This family of interpolants has a simple parameterization that simplifies a direct search for the optimal interpolant. Several numerical examples show that the interpolation points satisfying the Meier-Luenberger conditions for H₂-optimal approximations are a good starting point for minimizing the H<sub>∞</sub>-norm of the approximation error. Interpolation points satisfying the Meier-Luenberger conditions can be computed iteratively using the IRKA algorithm [12]. We consider the special case of state-space symmetric systems and show that simple sufficient conditions can be derived for minimizing the approximation error when starting from the interpolation points found by the IRKA algorithm. We then explore the relationship between potential theory in the complex plane and the optimal H<sub>∞</sub>-norm interpolation points through several numerical experiments. The results of these experiments suggest that the optimal H<sub>∞</sub> approximation of order r yields an error system for which significant pole-zero cancellation occurs, effectively reducing an order n+r error system to an order 2r+1 system. These observations lead to a heuristic method for choosing interpolation points that involves solving a rational Zolatarev problem over a discrete set of points in the complex plane.

Degree

thesis:*
Name thesis:degree_name
Master of Science
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Mathematics
Department dc:contributor.department
Mathematics
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2009

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Flagg, Garret Michael
Chair dc:contributor.committeechair
  • Gugercin, Serkan
Committee members dc:contributor.committeemember
  • Beattie, Christopher A.
  • Borggaard, Jeffrey T.

Subjects

dc:subject × 3

Rights

dc:rights
Statement dc:rights
  • In Copyright

Identifiers

dc:identifier.*
Dc Identifier Other
etd-05222009-124513
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/33123

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Flagg, Garret Michael. An Interpolation-Based Approach to Optimal H<sub>∞</sub> Model Reduction. masters thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/33123