Diagnosis of Retaining Faults in Circuits

Monther Busbait*, Mikhail Moshkov, Albina Moshkova, Vladimir Shevtchenko

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

In this chapter, retaining faults of circuits are considered. We prove that, for iteration-free circuits, there exist decision trees, which solve the problem of circuit diagnosis relative retaining faults and whose depth is bounded from above by a linear function on the number of gates in circuits. For each closed class of Boolean functions, we find a basis, which is optimal from the point of view of complexity of diagnosis of formula-like circuits over this basis (during the procedure of diagnosis each formula-like circuit is transformed into an iteration-free circuit). We also study relationships between two types of Shannon functions. A function of the first type characterizes the complexity of diagnosis of formula-like circuits implementing Boolean functions from a closed class. A function of the second type characterizes the complexity of formulas implementing Boolean functions from a closed class. The obtained relationships allow us to transfer some known results for Shannon functions of the second type to the case of Shannon functions of the first type.

Original languageEnglish (US)
Title of host publicationStudies in Systems, Decision and Control
PublisherSpringer Science and Business Media Deutschland GmbH
Pages71-85
Number of pages15
DOIs
StatePublished - 2023

Publication series

NameStudies in Systems, Decision and Control
Volume493
ISSN (Print)2198-4182
ISSN (Electronic)2198-4190

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Control and Systems Engineering
  • Automotive Engineering
  • Social Sciences (miscellaneous)
  • Economics, Econometrics and Finance (miscellaneous)
  • Control and Optimization
  • Decision Sciences (miscellaneous)

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