Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/62365
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dc.titleKnowledge-based multivariable PID control
dc.contributor.authorHo, W.K.
dc.contributor.authorLee, T.H.
dc.contributor.authorTay, E.B.
dc.date.accessioned2014-06-17T06:50:15Z
dc.date.available2014-06-17T06:50:15Z
dc.date.issued1998-07
dc.identifier.citationHo, W.K.,Lee, T.H.,Tay, E.B. (1998-07). Knowledge-based multivariable PID control. Control Engineering Practice 6 (7) : 855-864. ScholarBank@NUS Repository.
dc.identifier.issn09670661
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/62365
dc.description.abstractKnowledge-based control has become an important approach towards the realization of intelligent control systems. To date, multivariable control system design is restricted to off-line design aided possibly by a knowledge-based system. A first-generation on-line knowledge-based multivariable PID control system is implemented in this paper. Real-time considerations are taken into account. The integration of the knowledge-based system with conventional process control system software and hardware is achieved through an interfaced approach. Heuristics developed in recent research on intelligent PID control is implemented to attain some of the visionary goals of knowledge-based control. An implementation on a laboratory scale heat exchanger is also given. © 1998 Published by Elsevier Science Ltd. All rights reserved.
dc.sourceScopus
dc.subjectGain and phase margins
dc.subjectKnowledge-based control
dc.subjectMultivariable systems
dc.subjectPID control
dc.subjectSelf-tuning control
dc.typeArticle
dc.contributor.departmentELECTRICAL ENGINEERING
dc.description.sourcetitleControl Engineering Practice
dc.description.volume6
dc.description.issue7
dc.description.page855-864
dc.description.codenCOEPE
dc.identifier.isiutNOT_IN_WOS
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