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Please use this identifier to cite or link to this item: https://doi.org/10.1109/WCICA.2011.5970724
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dc.titleData driven- adaptive single neuron predictive controller based on Lyapunov approach
dc.contributor.authorJia, L.
dc.contributor.authorCao, L.
dc.contributor.authorChiu, M.
dc.date.accessioned2014-06-19T06:13:28Z
dc.date.available2014-06-19T06:13:28Z
dc.date.issued2011
dc.identifier.citationJia, L.,Cao, L.,Chiu, M. (2011). Data driven- adaptive single neuron predictive controller based on Lyapunov approach. Proceedings of the World Congress on Intelligent Control and Automation (WCICA) : 7-12. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/WCICA.2011.5970724" target="_blank">https://doi.org/10.1109/WCICA.2011.5970724</a>
dc.identifier.isbn9781612847009
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/74530
dc.description.abstractIn this paper, a novel data driven-adaptive single neuron predictive controller is proposed. The self-tuning algorithm for the single neuron predictive controller is derived by a rigorous analysis based on the Lyapunov method such that the predicted tracking error convergences asymptotically. Simulation results are presented to illustrate the proposed adaptive predictive controller and a comparison with its conventional counterparts is made. © 2011 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/WCICA.2011.5970724
dc.sourceScopus
dc.subjectLyapunov approach
dc.subjectneuron predictive controller
dc.subjectPID controller
dc.typeConference Paper
dc.contributor.departmentCHEMICAL & BIOMOLECULAR ENGINEERING
dc.description.doi10.1109/WCICA.2011.5970724
dc.description.sourcetitleProceedings of the World Congress on Intelligent Control and Automation (WCICA)
dc.description.page7-12
dc.identifier.isiutNOT_IN_WOS
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