Robust Hierarchical Model Predictive Control of Graph-Based Power Flow Systems

dc.contributor.authorKoeln, Justin P.
dc.contributor.authorAlleyne, A. G.
dc.contributor.utdAuthorKoeln, Justin P.
dc.date.accessioned2019-08-26T20:41:19Z
dc.date.available2019-08-26T20:41:19Z
dc.date.created2018-07--07
dc.descriptionFull text access from Treasures at UT Dallas is restricted to current UTD affiliates (use the provided Link to Article).
dc.description.abstractA robust hierarchical model predictive control framework is presented for controlling a linear system of dynamically coupled subsystems. A graph-based modeling framework captures the conservation laws of power flow systems, for which control optimizes the storage and routing of energy to maximize transient and steady-state power throughput. A constructive approach is presented for developing an N-level hierarchical controller, which guarantees satisfaction of state and input constraints in the presence of signal and model uncertainty.
dc.description.departmentErik Jonsson School of Engineering and Computer Science
dc.identifier.bibliographicCitationKoeln, J. P., and A. G. Alleyne. 2018. "Robust hierarchical model predictive control of graph-based power flow systems." Automatica 96: 127-133, doi:10.1016/j.automatica.2018.06.042
dc.identifier.issn0005-1098
dc.identifier.urihttps://hdl.handle.net/10735.1/6796
dc.identifier.volume96
dc.language.isoen
dc.publisherElsevier Ltd
dc.relation.urihttp://dx.doi.org/10.1016/j.automatica.2018.06.042
dc.rights©2018 Elsevier Ltd. All Rights Reserved.
dc.source.journalAutomatica
dc.subjectGraph theory
dc.subjectPredictive control
dc.subjectFlowgraphs
dc.subjectGraphic methods
dc.subjectLinear systems
dc.subjectModeling--Graph based
dc.titleRobust Hierarchical Model Predictive Control of Graph-Based Power Flow Systems
dc.type.genrearticle

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