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Article: A fuzzy expert system for complex closed-loop control: A non-mathematical approach

TitleA fuzzy expert system for complex closed-loop control: A non-mathematical approach
Authors
KeywordsClosed-loop control
Expert system
Fuzzy logic
PID control system
Issue Date1998
Citation
Expert Systems, 1998, v. 15 n. 2, p. 98-108 How to Cite?
AbstractA fuzzy expert system uses fuzzy logic control (Zadeh, 1965) which is based on a 'superset' of Boolean logic that has been extended to handle the concept of 'partial truth' and it replaces the role of a mathematical model with another that is built from a number of rules with fuzzy variables such as output temperature and fuzzy terms such as 'hot', 'fairly cold', 'probably correct'. In control areas, an expert system using fuzzy logic principles has advantages over conventional Proportional-Integral-Derivative (PID) closed-loop control such as the ability to offer a method for representing and implementing the expert's knowledge, the ability to implement simple but robust solutions as well as comparatively less development and maintenance time of the involved control system. A fuzzy expert system may further outperform conventional PID control system when dealing with 'multiple-input multiple-output' control situations where more complex control algorithms for conventional PID system are required. This paper presents a methodology for the implementation of such a fuzzy expert system with a step-by-step, non-mathematical approach, which is able to handle complex closed-loop control situations. A practical example is employed to illustrate the 'road-map ' of the methodology with realistic data based on the implementation of this system in a local company.
Persistent Identifierhttp://hdl.handle.net/10722/74579
ISSN
2015 Impact Factor: 0.947
2015 SCImago Journal Rankings: 0.496
References

 

DC FieldValueLanguage
dc.contributor.authorLau, Hen_HK
dc.contributor.authorWong, TNen_HK
dc.date.accessioned2010-09-06T07:02:44Z-
dc.date.available2010-09-06T07:02:44Z-
dc.date.issued1998en_HK
dc.identifier.citationExpert Systems, 1998, v. 15 n. 2, p. 98-108en_HK
dc.identifier.issn0266-4720en_HK
dc.identifier.urihttp://hdl.handle.net/10722/74579-
dc.description.abstractA fuzzy expert system uses fuzzy logic control (Zadeh, 1965) which is based on a 'superset' of Boolean logic that has been extended to handle the concept of 'partial truth' and it replaces the role of a mathematical model with another that is built from a number of rules with fuzzy variables such as output temperature and fuzzy terms such as 'hot', 'fairly cold', 'probably correct'. In control areas, an expert system using fuzzy logic principles has advantages over conventional Proportional-Integral-Derivative (PID) closed-loop control such as the ability to offer a method for representing and implementing the expert's knowledge, the ability to implement simple but robust solutions as well as comparatively less development and maintenance time of the involved control system. A fuzzy expert system may further outperform conventional PID control system when dealing with 'multiple-input multiple-output' control situations where more complex control algorithms for conventional PID system are required. This paper presents a methodology for the implementation of such a fuzzy expert system with a step-by-step, non-mathematical approach, which is able to handle complex closed-loop control situations. A practical example is employed to illustrate the 'road-map ' of the methodology with realistic data based on the implementation of this system in a local company.en_HK
dc.languageengen_HK
dc.relation.ispartofExpert Systemsen_HK
dc.subjectClosed-loop controlen_HK
dc.subjectExpert systemen_HK
dc.subjectFuzzy logicen_HK
dc.subjectPID control systemen_HK
dc.titleA fuzzy expert system for complex closed-loop control: A non-mathematical approachen_HK
dc.typeArticleen_HK
dc.identifier.emailWong, TN: tnwong@hku.hken_HK
dc.identifier.authorityWong, TN=rp00192en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1111/1468-0394.00068-
dc.identifier.scopuseid_2-s2.0-0032063892en_HK
dc.identifier.hkuros37794en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0032063892&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume15en_HK
dc.identifier.issue2en_HK
dc.identifier.spage98en_HK
dc.identifier.epage108en_HK
dc.identifier.scopusauthoridLau, H=7201497785en_HK
dc.identifier.scopusauthoridWong, TN=55301015400en_HK

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