Performance of Neural Network Based Controllers and Δ∑ Based PID Controllers for Networked Control Systems: A Comparative Investigation

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dc.contributor.author Wanigasekara, C en
dc.contributor.author Almakhles, D en
dc.contributor.author Swain, Akshya en
dc.contributor.author Nguang, Sing en
dc.contributor.author Subramaniyan, U en
dc.contributor.author Padmanaban, S en
dc.coverage.spatial Genoa, Italy en
dc.date.accessioned 2019-05-28T04:12:09Z en
dc.date.issued 2019 en
dc.identifier.citation Proceedings 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) en
dc.identifier.isbn 978-1-7281-0653-3 en
dc.identifier.uri http://hdl.handle.net/2292/46713 en
dc.description.abstract During the past decade, networked control systems (NCS) has emerged as a viable alternative to traditional control systems due to various advantages it offers which include a reduction in system wiring, increase of system agility etc. However, the performance of various existing controllers such as PID degrades in the networked environment due to the existence of random time-varying delay, packet-dropouts which may cause instability. The present study designs a neural network (NN) based controller for NCS and investigates its performance under random time-varying delay, packet-dropouts. The performance of this controller is compared with both the classical PID and Δ∑ based PID controllers. The robustness of the NN based controllers in the networked environment is studied under different degree of parametric uncertainties considering an example of a DC servo mechanism. The results of the comparative investigation demonstrate that the performance of the NN based controller is superior compared to other controllers. en
dc.description.uri https://www.eeeic.net/eeeic/ en
dc.publisher IEEE en
dc.relation.ispartof International Conference on Environmental and Electrical Engineering en
dc.relation.ispartofseries Proceedings 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.rights.uri https://www.ieee.org/publications/rights/author-posting-policy.html en
dc.title Performance of Neural Network Based Controllers and Δ∑ Based PID Controllers for Networked Control Systems: A Comparative Investigation en
dc.type Conference Item en
dc.identifier.doi 10.1109/EEEIC.2019.8783404 en
dc.rights.holder Copyright: IEEE en
pubs.author-url https://www.eeeic.net/eeeic/EEEICdownload/EEEIC_ICPS19%20Final%20Program%20Rev.pdf en
pubs.finish-date 2019-06-14 en
pubs.start-date 2019-06-11 en
dc.rights.accessrights http://purl.org/eprint/accessRights/OpenAccess en
pubs.subtype Proceedings en
pubs.elements-id 769025 en
pubs.org-id Engineering en
pubs.org-id Department of Electrical, Computer and Software Engineering en
pubs.record-created-at-source-date 2019-04-17 en
pubs.online-publication-date 2019-08-01 en


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