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

Tsuyoshi Yuno, Shingo Nishinaka, Rin Saeki, Yoshio Ebihara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publication2024 IEEE 63rd Conference on Decision and Control, CDC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5870-5875
Number of pages6
ISBN (Electronic)9798350316339
DOIs
Publication statusPublished - 2024
Event63rd IEEE Conference on Decision and Control, CDC 2024 - Milan, Italy
Duration: Dec 16 2024Dec 19 2024

Publication series

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

Conference

Conference63rd IEEE Conference on Decision and Control, CDC 2024
Country/TerritoryItaly
CityMilan
Period12/16/2412/19/24

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Modelling and Simulation
  • Control and Optimization

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