Partial closed-loop pole assignment via Sylvester equation for linear time-invariant systems

Shang Wang*, Xiaodong Cheng, Peter Van Heijster

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperAcademicpeer-review

Abstract

This paper introduces a novel approach of partial closed-loop pole assignment for linear time-invariant (LTI) systems. A linear algebraic condition, derived from the Sylvester equation of the system, is presented to characterize the state feedback gains that allocate a subset of the closed-loop poles to a prescribed set of points. We show that this condition can serve as a constraint for designing controllers to achieve other control objectives, for instance, maintaining the other unspecified poles unchanged or minimizing the H norm of the closed-loop system. Furthermore, a connection between the proposed method and moment-matching-based model reduction is also discussed, which shows that the controller gain can be designed based on a reduced-order model that matches certain moments of the original system. Finally, some numerical examples are used to illustrate the proposed method.

Original languageEnglish
Title of host publication2024 IEEE 63rd Conference on Decision and Control, CDC 2024
PublisherIEEE
Pages1388-1393
ISBN (Electronic)9798350316339
ISBN (Print)9798350316346
DOIs
Publication statusPublished - 2024
Event63rd IEEE Conference on Decision and Control, 2024 - Milan, Italy
Duration: 16 Dec 202419 Dec 2024

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference/symposium

Conference/symposium63rd IEEE Conference on Decision and Control, 2024
Abbreviated titleCDC 2024
Country/TerritoryItaly
CityMilan
Period16/12/2419/12/24

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