Learning approach for smart self-adaptive cyber-physical systems

Ana Petrovska, Alexander Pretschner

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

Modern Cyber-Physical Systems (CPSs) need to be able to operate efficiently and reliably within continually changing, uncertain, and unanticipated environments. Namely, these systems should be capable of learning, automatically reconfiguring themselves, and be able to cooperate and collaborate with other CPSs. In a nutshell, exhibit human-like, smart capabilities in an autonomic manner. However, engineering such systems is all but trivial, primarily because we need to develop systems at design-time that are capable of autonomously coping with the uncertainty and change at runtime. Therefore, not only the importance of self-adaptivity as a system's feature increases, but it becomes a fundamental approach for the systems to continue meeting their functional specifications, fulfilling their business objectives while preserving the performance-despite all the runtime changes that the system may encounter. To tackle these challenges, this paper proposes the initial research vision and agenda with the envisioned contributions towards an approach for self-adaptation of cooperative, smart CPSs through shared knowledge and learning.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems, FAS*W 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages234-236
Number of pages3
ISBN (Electronic)9781728124063
DOIs
StatePublished - Jun 2019
Event4th IEEE International Workshops on Foundations and Applications of Self* Systems, FAS*W 2019 - Umea, Sweden
Duration: 16 Jun 201920 Jun 2019

Publication series

NameProceedings - 2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems, FAS*W 2019

Conference

Conference4th IEEE International Workshops on Foundations and Applications of Self* Systems, FAS*W 2019
Country/TerritorySweden
CityUmea
Period16/06/1920/06/19

Keywords

  • Awareness
  • Change and Uncertainty
  • Context
  • Learning
  • Performance
  • Self-Adaptive Cyber-Physical Systems

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