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dc.contributor.authorPan, I
dc.contributor.authorDas, S
dc.contributor.authorGupta, A
dc.date.accessioned2018-01-18T14:05:02Z
dc.date.issued2011-05-28
dc.description.abstractThe issues of stochastically varying network delays and packet dropouts in Networked Control System (NCS) applications have been simultaneously addressed by time domain optimal tuning of fractional order (FO) PID controllers. Different variants of evolutionary algorithms are used for the tuning process and their performances are compared. Also the effectiveness of the fractional order PI(λ)D(μ) controllers over their integer order counterparts is looked into. Two standard test bench plants with time delay and unstable poles which are encountered in process control applications are tuned with the proposed method to establish the validity of the tuning methodology. The proposed tuning methodology is independent of the specific choice of plant and is also applicable for less complicated systems. Thus it is useful in a wide variety of scenarios. The paper also shows the superiority of FOPID controllers over their conventional PID counterparts for NCS applications.en_GB
dc.description.sponsorshipThis work has been supported by the Board of Research in Nuclear Sciences (BRNS) of the Department of Atomic Energy (DAE), India, sanction no. 2009/36/62-BRNS, dated November 2009.en_GB
dc.identifier.citationVol. 50 (4), pp. 557 - 572en_GB
dc.identifier.doi10.1016/j.isatra.2011.04.002
dc.identifier.urihttp://hdl.handle.net/10871/31064
dc.language.isoenen_GB
dc.publisherElsevier for ISAen_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/21621208en_GB
dc.rightsCrown copyright © 2011 Published by Elsevier Ltd. All rights reserved.en_GB
dc.subjectAlgorithmsen_GB
dc.subjectCommunicationen_GB
dc.subjectComputer Simulationen_GB
dc.subjectEquipment Designen_GB
dc.subjectIndustryen_GB
dc.subjectReproducibility of Resultsen_GB
dc.subjectStochastic Processesen_GB
dc.titleHandling packet dropouts and random delays for unstable delayed processes in NCS by optimal tuning of PIλDμ controllers with evolutionary algorithmsen_GB
dc.typeArticleen_GB
dc.date.available2018-01-18T14:05:02Z
exeter.place-of-publicationUnited Statesen_GB
dc.descriptionThis is the author accepted manuscript. The final version is available from Elsevier via the DOI in this record.en_GB
dc.identifier.journalISA Transactionsen_GB


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