Explicit approximate model predictive control of constrained nonlinear systems with quantized input

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creativework.keywordsMPC, Multi-parametric nonlinear integer programming
dc.contributor.authorGrancharova A.
dc.contributor.authorJohansen T.A.
dc.date.accessioned2024-07-10T14:27:03Z
dc.date.accessioned2024-07-10T14:47:25Z
dc.date.available2024-07-10T14:27:03Z
dc.date.available2024-07-10T14:47:25Z
dc.date.issued2009-06-15
dc.description.abstractIn this paper, a Model Predictive Control problem for constrained nonlinear systems with quantized input is formulated and represented as a multi-parametric Nonlinear Integer Programming (mp-NIP) problem. Then, a computational method for explicit approximate solution of the resulting mp-NIP problem is suggested. The proposed approximate mp-NIP approach is applied to the design of an explicit approximate MPC controller for a clutch actuator with on/off valves. © 2009 Springer Berlin Heidelberg.
dc.identifier.doi10.1007/978-3-642-01094-1_30
dc.identifier.issn0170-8643
dc.identifier.scopusSCOPUS_ID:66749153711en
dc.identifier.urihttps://rlib.uctm.edu/handle/123456789/162
dc.language.isoen
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=66749153711&origin=inward
dc.titleExplicit approximate model predictive control of constrained nonlinear systems with quantized input
dc.typeConference Paper
oaire.citation.volume384
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