@inproceedings{781ff9a0ea8d4c7db630773a79857bf8,
title = "Partial closed-loop pole assignment via Sylvester equation for linear time-invariant systems",
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.",
author = "Shang Wang and Xiaodong Cheng and Heijster, {Peter Van}",
year = "2024",
doi = "10.1109/CDC56724.2024.10886870",
language = "English",
isbn = "9798350316346",
series = "Proceedings of the IEEE Conference on Decision and Control",
publisher = "IEEE",
pages = "1388--1393",
booktitle = "2024 IEEE 63rd Conference on Decision and Control, CDC 2024",
address = "United States",
note = "63rd IEEE Conference on Decision and Control, 2024, CDC 2024 ; Conference date: 16-12-2024 Through 19-12-2024",
}