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dc.contributor.authorLiu, Y.
dc.contributor.authorYin, Y.
dc.contributor.authorLiu, F.
dc.contributor.authorTeo, Kok Lay
dc.date.accessioned2017-01-30T13:37:48Z
dc.date.available2017-01-30T13:37:48Z
dc.date.created2015-05-22T08:32:22Z
dc.date.issued2015
dc.identifier.citationLiu, Y. and Yin, Y. and Liu, F. and Teo, K.L. 2015. Constrained MPC design of nonlinear Markov jump system with nonhomogeneous process. Nonlinear Analysis: Hybrid Systems. 17: pp. 1-9.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/33543
dc.identifier.doi10.1016/j.nahs.2015.01.001
dc.description.abstract

In this paper, a differential-inclusion-based MPC scheme is developed for the controller design for a discrete time nonlinear Markov jump system with nonhomogeneous transition probability. By adopting a differential-inclusion-based convex model predictive control mechanism, the nonlinear Markov jump system with nonhomogeneous transition probability is enclosed by a set of linear Markov jump systems. In this way, the controller design for the nonlinear Markov jump system can be solved via solving a set of linear Markov jump systems. Two numerical examples with different weighting parameters R are presented to illustrate the applicability of the results obtained.

dc.publisherElsevier
dc.subjectNonhomogeneous switching
dc.subjectDifferential-inclusion-based
dc.subjectDiscrete time
dc.subjectConstrained MPC
dc.subjectNonlinear Markov jump systems
dc.titleConstrained MPC design of nonlinear Markov jump system with nonhomogeneous process
dc.typeJournal Article
dcterms.source.volume17
dcterms.source.startPage1
dcterms.source.endPage9
dcterms.source.issn1751-570X
dcterms.source.titleNonlinear Analysis: Hybrid Systems
curtin.departmentDepartment of Mathematics and Statistics
curtin.accessStatusFulltext not available


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