Design of Explicit Model Predictive Controllers Based on Orthogonal Partition of the Parameter Space: Methods and A Software Tool

Simple item page
creativework.keywordsConstraints, Explicit solution, Nonlinear systems, Predictive control, Software tools
creativework.publisherElsevier B.V.en
dc.contributor.authorGrancharova A.
dc.date.accessioned2024-07-10T14:27:03Z
dc.date.accessioned2024-07-10T14:48:34Z
dc.date.available2024-07-10T14:27:03Z
dc.date.available2024-07-10T14:48:34Z
dc.date.issued2015-01-01
dc.description.abstractThis paper reviews the approaches to explicit approximate Nonlinear Model Predictive Control (NMPC), based on orthogonal partition of the parameter space. They are classified with respect to the type of control problem, the type of model describing the nonlinear system, the presence of uncertainty, the type of control input, and the type of the approximating control function. A software tool for design of explicit NMPC by applying the described approaches is presented. It is used to design an explicit NMPC controller for a continuous stirred tank reactor.
dc.identifier.doi10.1016/j.ifacol.2015.12.065
dc.identifier.issn2405-8963
dc.identifier.scopusSCOPUS_ID:84983161251en
dc.identifier.urihttps://rlib.uctm.edu/handle/123456789/400
dc.language.isoen
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84983161251&origin=inward
dc.titleDesign of Explicit Model Predictive Controllers Based on Orthogonal Partition of the Parameter Space: Methods and A Software Tool
dc.typeConference Paper
oaire.citation.issue24
oaire.citation.volume48
Files
Collections
Articles