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Please use this identifier to cite or link to this item: https://doi.org/10.1109/ACC.2007.4282367
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dc.titleInterpolated model predictive controller for linear systems with bounded disturbances
dc.contributor.authorSui, D.
dc.contributor.authorOng, C.J.
dc.date.accessioned2014-06-19T05:36:26Z
dc.date.available2014-06-19T05:36:26Z
dc.date.issued2007
dc.identifier.citationSui, D.,Ong, C.J. (2007). Interpolated model predictive controller for linear systems with bounded disturbances. Proceedings of the American Control Conference : 4458-4463. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/ACC.2007.4282367" target="_blank">https://doi.org/10.1109/ACC.2007.4282367</a>
dc.identifier.isbn1424409888
dc.identifier.issn07431619
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/73547
dc.description.abstractInterpolation techniques are known to reduce computational complexity of Model Predictive Control (MPC) [1], [2]. This paper presents the general interpolation based MPC (IMPC) for a constrained linear system with bounded disturbances. The resulting MPC control law comprises an interpolation between several single MPC control laws. Compared with single MPC control law implementations, the proposed approach has the advantage of combining the merits of having a large domain of attraction and good asymptotic behavior. The performances of the approach are presented via an example. © 2007 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ACC.2007.4282367
dc.sourceScopus
dc.subjectInterpolated model predictive control
dc.subjectInvariant set
dc.subjectLinear constrained systems with bounded disturbances
dc.typeConference Paper
dc.contributor.departmentMECHANICAL ENGINEERING
dc.description.doi10.1109/ACC.2007.4282367
dc.description.sourcetitleProceedings of the American Control Conference
dc.description.page4458-4463
dc.description.codenPRACE
dc.identifier.isiutNOT_IN_WOS
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