Coercive Quadratic ISS Lyapunov Functions for Analytic Systems

Andrii Mironchenko, Felix Schwenninger

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Abstract

We investigate the relationship between input-to-state stability (ISS) of linear infinite-dimensional systems and existence of coercive ISS Lyapunov functions. We show that input-to-state stability of a linear system does not imply existence of a coercive quadratic ISS Lyapunov function, even if the underlying semigroup is analytic, and the input operator is bounded. However, if in addition the semigroup is similar to a contraction semigroup on a Hilbert space, then a quadratic ISS Lyapunov function always exists. Next we consider analytic and similar to contraction semi-groups in Hilbert spaces with unbounded input operator B. If B is slightly stronger than 2-admissible, we construct explicitly a coercive L2-ISS Lyapunov function. If the generator of a semigroup is additionally self-adjoint, this Lyapunov function is precisely a square norm in the state space.

Original languageEnglish
Title of host publication2023 62nd IEEE Conference on Decision and Control, CDC 2023
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages4699-4704
Number of pages6
ISBN (Electronic)979-8-3503-0124-3, 979-8-3503-0123-6 (USB)
ISBN (Print)979-8-3503-0125-0
DOIs
Publication statusPublished - 2023
Event62nd IEEE Conference on Decision and Control, CDC 2023 - Singapore, Singapore
Duration: 13 Dec 202315 Dec 2023
Conference number: 62

Publication series

NameProceedings of the IEEE Conference on Decision and Control (CDC)
PublisherIEEE
Number62
Volume2023
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference62nd IEEE Conference on Decision and Control, CDC 2023
Abbreviated titleCDC 2023
Country/TerritorySingapore
CitySingapore
Period13/12/2315/12/23

Keywords

  • Infinite-dimensional systems
  • Input-to-state stability
  • Linear systems
  • Lyapunov methods
  • Semigroup theory
  • 2024 OA procedure

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