oru.sePublikationer
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Applications of the Fuzzy State Fuzzy Output Finite State Machine to the Problem of Recovery from Violation of Ontological Assumptions
Western Michigan University, Department of Electrical & Computer Engineering, Kalamazoo, United States.
University of Cape Town, Department of Psychology, Cape Town, South Africa.
Department of Computer and Information Science, University of Linköping, Linköping, Sweden. (AASS)ORCID iD: 0000-0002-9477-4044
Intel Corporation, Santa Clara, United States.
2000 (English)In: International Journal of Smart Engineering System Design, ISSN 1025-5818, Vol. 2, no 3, 177-199 p.Article in journal (Refereed) Published
Abstract [en]

A programmable logic controller (PC) carries out a control algorithm under violations of theontological assumptions (VOA) when the plant does not meet one or more unstated but essential assumptions used in the design of the control algorithm. This paper presents a recovery technique based on the theory of Fuzzy State Fuzzy Output Finite State Machines (FSFO-FSM). The appeal of this approach is that the only known recovery results today are for fuzzy controllers. A common drawback of most linguistic models is that they are essentially static and thus not suitable to model the sequential behavior of a PC program. A FSFO-FSM can act as a sequentialmachine during the normal course of control, yet it possesses all the required linguistic properties during a VOA. This approach can enhance substantially the safety and operational range of existing PC and embedded control applications. This paper describes the control problem, presents results based on simulations, and show architectural constraints when applying this principle to real-world application.

Place, publisher, year, edition, pages
Taylor & Francis Group , 2000. Vol. 2, no 3, 177-199 p.
Keyword [en]
Fuzzy Control, Supervisory Control, Ontological Control, Fuzzy Logic, Process Control, Process, Algorithms; Computer simulation; Finite automata; Fuzzy control; Linguistics; Process control; Programmable logic controllers; SCADA systems; Sequential machines
National Category
Engineering and Technology
Research subject
Computer Engineering; Automatic Control
Identifiers
URN: urn:nbn:se:oru:diva-42532Scopus ID: 2-s2.0-0033906742OAI: oai:DiVA.org:oru-42532DiVA: diva2:786976
Available from: 2015-02-08 Created: 2015-02-08 Last updated: 2015-02-09Bibliographically approved

Open Access in DiVA

No full text

Scopus

Search in DiVA

By author/editor
Driankov, Dimiter
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar

Total: 250 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf