Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/74467
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dc.titleAdaptive controller design using just-in-time learning algorithm
dc.contributor.authorCheng, C.
dc.contributor.authorHashimoto, Y.
dc.contributor.authorChiu, M.-S.
dc.date.accessioned2014-06-19T06:12:47Z
dc.date.available2014-06-19T06:12:47Z
dc.date.issued2004
dc.identifier.citationCheng, C.,Hashimoto, Y.,Chiu, M.-S. (2004). Adaptive controller design using just-in-time learning algorithm. Proceedings of the IEEE International Conference on Control Applications 2 : 1106-1111. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/74467
dc.description.abstractIn this paper, an adaptive FID controller design based on just-in-time learning (JITL) algorithm is developed. Inspired by the learning strategy of neural network, a gradient descent algorithm is used to tune the controller parameters on-line based on the information provided by JITL. In addition, a predictive feedforward control scheme is devised to enhance the disturbance rejection capability of the proposed design. The proposed method is illustrated and evaluated by a case study of a polymerization reactor. © 2004 IEEE.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentCHEMICAL & BIOMOLECULAR ENGINEERING
dc.description.sourcetitleProceedings of the IEEE International Conference on Control Applications
dc.description.volume2
dc.description.page1106-1111
dc.identifier.isiutNOT_IN_WOS
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