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H2-optimal control with an H[infinity]-constraint The state feedback case

dc.contributor.authorRotea, Mario A.en_US
dc.contributor.authorKhargonekar, Pramod P.en_US
dc.date.accessioned2006-04-10T14:47:38Z
dc.date.available2006-04-10T14:47:38Z
dc.date.issued1991-03en_US
dc.identifier.citationRotea, Mario A., Khargonekar, Pramod P. (1991/03)."H2-optimal control with an H[infinity]-constraint The state feedback case." Automatica 27(2): 307-316. <http://hdl.handle.net/2027.42/29437>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6V21-47X241H-5G/2/8afb96f47ee674778147cfd708010d04en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/29437
dc.description.abstractIn this paper we consider a mixed H2/H[infinity]-optimal control problem. It is assumed that the plant as well as the feedback controller are finite-dimensional and linear time-invariant, and that the plant state is available for feedback. More specifically, among all the state-feedback controllers that minimize the H2-norm of a closed loop transfer matrix, we give necessary and sufficient conditions for the existence of a controller that also satisfies a prescribed H[infinity]-norm bound on some other closed loop transfer matrix. When these conditions are met, the solution to the above problem is also a global solution to the contrained optimization problem of minimizing an H2-norm performance measure subject to an H[infinity]-norm constraint. We also give state-space formulae for computing the solutions. Some easily checkable sufficient conditions for the existence of solutions are given. Finally we give an example in which all solutions to the constrained optimization problem are necessarily dynamic, i.e. there is no static gain solution even though plant state is available for feedback.en_US
dc.format.extent862557 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleH2-optimal control with an H[infinity]-constraint The state feedback caseen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelMechanical Engineeringen_US
dc.subject.hlbsecondlevelIndustrial and Operations Engineeringen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Electrical Engineering and Computer Science, The University of Michigan, Ann Arbor, MI 48109-2122, U.S.A.en_US
dc.contributor.affiliationotherCenter for Control Sciences and Dynamical Systems, University of Minnesota, Minneapolis, MN 55455, U.S.A.en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/29437/1/0000518.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0005-1098(91)90079-Hen_US
dc.identifier.sourceAutomaticaen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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