dc.contributorInst Tecnol Aeronaut
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-11-26T17:42:45Z
dc.date.available2018-11-26T17:42:45Z
dc.date.created2018-11-26T17:42:45Z
dc.date.issued2017-11-25
dc.identifierInternational Journal Of Robust And Nonlinear Control. Hoboken: Wiley, v. 27, n. 17, p. 3921-3936, 2017.
dc.identifier1049-8923
dc.identifierhttp://hdl.handle.net/11449/163613
dc.identifier10.1002/rnc.3772
dc.identifierWOS:000417576400027
dc.description.abstractThis paper proposes a new approach for the design of output feedback robust model predictive control (OFRMPC) with a dynamic output feedback controller (DOFC) for linear uncertain systems subject to input and output constraints. The main contribution of this work is the full on-line synthesis of the DOFC as part of a convex optimization problem, with constraint satisfaction and asymptotic stability guarantees. A numerical example is employed to illustrate the advantage of the proposed control law, as compared with another OFRMPC strategy with partial DOFC synthesis. The present paper also points out an inconsistency in the mathematical development of a previous related OFRMPC formulation (`improved dynamic output feedback RMPC for linear uncertain systems with input constraints'). Copyright (C) 2017 John Wiley & Sons, Ltd.
dc.languageeng
dc.publisherWiley-Blackwell
dc.relationInternational Journal Of Robust And Nonlinear Control
dc.relation2,028
dc.rightsAcesso restrito
dc.sourceWeb of Science
dc.subjectrobust model predictive control
dc.subjectdynamic output feedback
dc.subjectuncertain systems
dc.subjectinput and output constraints
dc.subjectlinear matrix inequalities
dc.titleA new OFRMPC formulation with on-line synthesis of the dynamic output feedback controller
dc.typeArtículos de revistas


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