A STUDY ON DISTRIBUTED RECEDING HORIZON CONTROL

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dc.contributor.advisorMartins, Nunoen_US
dc.contributor.authorMA, WANN-JIUNen_US
dc.contributor.departmentElectrical Engineeringen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.date.accessioned2011-07-06T06:03:02Z
dc.date.available2011-07-06T06:03:02Z
dc.date.issued2011en_US
dc.description.abstractWe consider a distributed control problem comprising of multiple sub-systems with one-controller at each sub-system. We apply a recent result about suboptimal receding horizon control that analytically relates a receding horizon control suboptimal solution and system performance loss to quantify the necessary number of iterations for the dual and primal decomposition algorithm to achieve a solution that guarantees stability. We also use this result to explore the idea of "incremental robustness", meaning that the overall system is robustly stable and its performance varies gracefully with the inclusion of sub-systems and sub-controllers. We demonstrate these ideas in a consensus seeking and a formation control problem and provide simulation results. To our best knowledge, this is the first time the result is applied to a distributed receding horizon control framework based on dual and primal decomposition.en_US
dc.identifier.urihttp://hdl.handle.net/1903/11584
dc.subject.pqcontrolledElectrical Engineeringen_US
dc.subject.pquncontrolledCONSENSUS SEEKINGen_US
dc.subject.pquncontrolledDUAL DECOMPOSITIONen_US
dc.subject.pquncontrolledPRIMAL DECOMPOSITIONen_US
dc.subject.pquncontrolledRECEDING HORIZON CONTROLen_US
dc.subject.pquncontrolledSTABILITYen_US
dc.subject.pquncontrolledSUB-OPTIMALITYen_US
dc.titleA STUDY ON DISTRIBUTED RECEDING HORIZON CONTROLen_US
dc.typeThesisen_US

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