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dc.contributor.authorGarone, E.
dc.contributor.authorNtogramatzidis, Lorenzo
dc.contributor.authorPadula, Fabrizio
dc.date.accessioned2017-04-28T13:57:42Z
dc.date.available2017-04-28T13:57:42Z
dc.date.created2017-04-28T09:06:07Z
dc.date.issued2017
dc.identifier.citationGarone, E. and Ntogramatzidis, L. and Padula, F. 2017. A geometric approach to constrained tracking control, pp. 48-53.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/52125
dc.identifier.doi10.1109/AUCC.2016.7868001
dc.description.abstract

© 2016 Engineers Australia.This paper exploits some recent results on monotonic tracking control to solve tracking problems in the presence of polytopic constraints on the state and input functions. The control architecture involved is a simple state feedback control with a feedforward action from the reference. The proposed technique does not require an online optimisation procedure, thus reducing considerably the computational burden. Indeed, under suitable assumptions, the tracking problem can be recast as a quadratic programming problem that can be easily solved offline. When applicable, this method represents an advantage over well established techniques such as model predictive control.

dc.titleA geometric approach to constrained tracking control
dc.typeConference Paper
dcterms.source.startPage48
dcterms.source.endPage53
dcterms.source.title2016 Australian Control Conference, AuCC 2016
dcterms.source.series2016 Australian Control Conference, AuCC 2016
dcterms.source.isbn9781922107909
curtin.departmentDepartment of Mathematics and Statistics
curtin.accessStatusFulltext not available


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