Model reduction by moment matching at isolated singularities
for linear systems: a geometric approach
for linear systems: a geometric approach
File(s)CDC17-AP-AA-MRP.pdf (275.58 KB)
Accepted version
Author(s)
Padoan, A
Astolfi
Type
Conference Paper
Abstract
The model reduction problem for continuous-time, linear, time-invariant systems is studied at isolated singularities of the transfer function. The moments at a pole of the transfer function are shown to be uniquely specified by the solutions of certain Sylvester equations exploiting two distinct approaches based on complex analysis and on geometric control theory. This allows to determine reduced order models which preserve given poles and match the corresponding moments. An in-depth analysis of the assumptions underlying this approach is provided in a companion paper. The applicability of the approaches developed is demonstrated with simple academic examples.
Date Issued
2018-01-23
Date Acceptance
2017-07-12
Citation
2018
Publisher
IEEE
Copyright Statement
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Source
56th IEEE Conference on Decision and Control
Subjects
Linear systems
model reduction
INTERPOLATION
Publication Status
Published
Start Date
2017-12-12
Finish Date
2017-12-15
Coverage Spatial
Melbourne, Australia
Date Publish Online
2018-01-23