Stochastic Safety for Random Dynamical Systems

Manuela Bujorianu, Rafal Wisniewski, Evangelos Boulougouris

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

2 Citations (Scopus)
16 Downloads (Pure)

Abstract

In the paper, we study the so-called p-safety of a random dynamical system. We generalize the existing results for safety barrier certificates for deterministic dynamical systems and Markov processes. Moreover, we consider the case of random obstacles, modelled as random sets. This leads to the necessity of using integrals with respect to lower and upper distributions. We prove that if there exists at least one barrier certificate then the random dynamical system is safe. The barrier certificates are also defined using such nonlinear distributions. Furthermore, when the family of stochastic Koopman operators has the semigroup property, the barrier certificates are solutions for some type of Dirichlet problems.

Original languageEnglish
Title of host publication2021 American Control Conference (ACC)
Number of pages6
PublisherIEEE
Publication date28 May 2021
Pages1340-1345
Article number9483422
ISBN (Print)978-1-7281-9704-3
ISBN (Electronic)978-1-6654-4197-1
DOIs
Publication statusPublished - 28 May 2021
Event2021 American Control Conference (ACC) - New Orleans, United States
Duration: 25 May 202128 May 2021

Conference

Conference2021 American Control Conference (ACC)
Country/TerritoryUnited States
CityNew Orleans
Period25/05/202128/05/2021
SeriesAmerican Control Conference
ISSN0743-1619

Keywords

  • Koopman operator
  • barrier certificates
  • hitting measure
  • occupation measure
  • p-safety
  • random dynamical system
  • random set
  • supermedian function

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