On Static O'Shea-Zames-Falb Multipliers for Idempotent Nonlinearities

Tsuyoshi Yuno, Shingo Nishinaka, Rin Saeki, Yoshio Ebihara

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

抄録

In this paper, we investigate static O'Shea-ZamesFalb (OZF) multipliers for slope-restricted and idempotent nonlinearities. For the analysis of nonlinear feedback systems, the powerful framework of integral quadratic constraint has been frequently employed, where the core of this framework is capturing the behavior of nonlinearities by multipliers. Among them, OZF multipliers are known to be effective for slope-restricted nonlinearities. However, OZF multipliers only grasp the rough slope properties of the nonlinearities, and hence cannot distinguish nonlinearities with the same slope property. To address this issue, we focus on the fact that some nonlinearities that are important in control engineering satisfy idempotence. By actively using the idempotence property, we first show that we can enlarge (relax) the set of standard OZF multipliers for slope-restricted nonlinearities. In particular, for slope-restricted and idempotent nonlinearities with slope [0, 1], we can provide a clear understanding on how the set of standard OZF multipliers is enlarged. We finally illustrate the effectiveness of the newly proposed multipliers by numerical examples on stability analysis of nonlinear feedback systems. Keywords: idempotent nonlinearities, static O'Shea-ZamesFalb multipliers.

本文言語英語
ホスト出版物のタイトル2024 IEEE 63rd Conference on Decision and Control, CDC 2024
出版社Institute of Electrical and Electronics Engineers Inc.
ページ5870-5875
ページ数6
ISBN(電子版)9798350316339
DOI
出版ステータス出版済み - 2024
イベント63rd IEEE Conference on Decision and Control, CDC 2024 - Milan, イタリア
継続期間: 12月 16 202412月 19 2024

出版物シリーズ

名前Proceedings of the IEEE Conference on Decision and Control
ISSN(印刷版)0743-1546
ISSN(電子版)2576-2370

会議

会議63rd IEEE Conference on Decision and Control, CDC 2024
国/地域イタリア
CityMilan
Period12/16/2412/19/24

!!!All Science Journal Classification (ASJC) codes

  • 制御およびシステム工学
  • モデリングとシミュレーション
  • 制御と最適化

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