An approach to self-adaptive software based on supervisory control

Gabor Karsai, Akos Ledeczi, Janos Sztipanovits, Gabor Peceli, Gyula Simon, Tamas Kovacshazy

Research output: Chapter in Book/Report/Conference proceedingChapter

19 Citations (Scopus)

Abstract

Self-adaptive software systems use observations of their own behavior, and that of their environment, to select and enact adaptations in accordance with some objective(s). This adaptation is a higher-level system function that performs optimizations, manages faults, or otherwise supports achieving an objective via changes in the running system. In this paper, we show how this capability can be realized using techniques found in hierarchical control systems, and we discuss interrelated issues of stability, assurance, and implementation.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsRobert Laddaga, Howie Shrobe, Paul Robertson
PublisherSpringer Verlag
Pages24-38
Number of pages15
ISBN (Print)3540007318
DOIs
Publication statusPublished - 2003

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2614
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Karsai, G., Ledeczi, A., Sztipanovits, J., Peceli, G., Simon, G., & Kovacshazy, T. (2003). An approach to self-adaptive software based on supervisory control. In R. Laddaga, H. Shrobe, & P. Robertson (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 24-38). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2614). Springer Verlag. https://doi.org/10.1007/3-540-36554-0_3