Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/51183
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dc.titleIdentification and control of piecewise affine systems using multiple models and model predictive control
dc.contributor.authorLai, C.Y.
dc.contributor.authorXiang, C.
dc.contributor.authorLee, T.H.
dc.date.accessioned2014-04-24T08:35:42Z
dc.date.available2014-04-24T08:35:42Z
dc.date.issued2010
dc.identifier.citationLai, C.Y., Xiang, C., Lee, T.H. (2010). Identification and control of piecewise affine systems using multiple models and model predictive control. Proceedings of the 12th IASTED International Conference on Control and Applications, CA 2010 : 530-537. ScholarBank@NUS Repository.
dc.identifier.isbn9780889868526
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/51183
dc.description.abstractIn this paper, a procedure for the identification and control of piecewise affine ARX systems is proposed. First, the parameters of the individual subsystems are identified through a least-squares based identification method using multiple models, followed by the estimation of the partition of the regressor space using standard procedures such as neural network classifier or support vector machine classifier. Having obtained the complete model of the piecewise affine ARX system, a model predictive controller is then derived to control the system for reference tracking. Simulation studies show that our algorithm can indeed provide accurate estimates of the plant parameters even in noisy cases, and that the proposed controller provides good tracking performance.
dc.sourceScopus
dc.subjectModel predictive control
dc.subjectPiecewise affine system
dc.subjectSystem identification
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.sourcetitleProceedings of the 12th IASTED International Conference on Control and Applications, CA 2010
dc.description.page530-537
dc.identifier.isiutNOT_IN_WOS
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