Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.jprocont.2012.05.018
DC FieldValue
dc.titleAdaptive decentralized PID controllers design using JITL modeling methodology
dc.contributor.authorYang, X.
dc.contributor.authorJia, L.
dc.contributor.authorChiu, M.-S.
dc.date.accessioned2014-06-17T07:35:26Z
dc.date.available2014-06-17T07:35:26Z
dc.date.issued2012-10
dc.identifier.citationYang, X., Jia, L., Chiu, M.-S. (2012-10). Adaptive decentralized PID controllers design using JITL modeling methodology. Journal of Process Control 22 (9) : 1531-1542. ScholarBank@NUS Repository. https://doi.org/10.1016/j.jprocont.2012.05.018
dc.identifier.issn09591524
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/63432
dc.description.abstractIn this paper, an adaptive decentralized PID design is developed for multivariable systems. In the proposed design, the controller parameters are adjusted by an updating algorithm derived based on the Lyapunov method such that the predicted tracking error converges asymptotically. Toward this end, the Just-in-Time Learning method is incorporated into the proposed design to provide the information required for the updating algorithm. Simulation results illustrate that the proposed design achieves better control performance than its corresponding benchmark designs reported in the literature. © 2012 Elsevier Ltd. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.jprocont.2012.05.018
dc.sourceScopus
dc.subjectDecentralized PID controller
dc.subjectJust-in-Time Learning
dc.subjectLyapunov method
dc.subjectMultivariable systems
dc.typeArticle
dc.contributor.departmentCHEMICAL & BIOMOLECULAR ENGINEERING
dc.description.doi10.1016/j.jprocont.2012.05.018
dc.description.sourcetitleJournal of Process Control
dc.description.volume22
dc.description.issue9
dc.description.page1531-1542
dc.description.codenJPCOE
dc.identifier.isiut000309636700001
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