Show simple item record

dc.contributor.authorJoseph Duran, Bernat
dc.contributor.authorOcampo-Martínez, Carlos
dc.contributor.authorCembrano Gennari, Gabriela
dc.contributor.otherInstitut de Robòtica i Informàtica Industrial
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.identifier.citationJoseph, B.; Ocampo-Martinez, C.A.; Cembrano, M. Output-feedback model predictive control of sewer networks through moving horizon estimation. A: IEEE Conference on Decision and Control. "2014 IEEE 53rd Annual Conference on Decision and Control (CDC)". Los Angeles: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 1061-1066.
dc.description.abstractBased on a simplified control-oriented hybrid linear delayed model, model predictive control (MPC) of a sewer network designed to reduce pollution during heavy rain events is presented. The lack of measurements at many parts of the system to update the initial conditions of the optimal control problems (OCPs) leads to the need for estimation techniques. A simple modification of the OCP used in the MPC iterations allows to formulate a state estimation problem (SEP) to reconstruct the full system state from a few measurements. Results comparing the system performance under the MPC controller using full-state measurements and a moving horizon estimation (MHE) strategy solving a finite horizon SEP at each time instant are presented. Closed-loop simulations are performed by using a detailed physically-based model of the network as virtual reality.
dc.format.extent6 p.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.subjectÀrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject.otherpredictive control
dc.subject.otherreceding horizon control
dc.subject.othermoving horizon estimation
dc.subject.othersewer networks
dc.subject.otheroptimal control
dc.subject.otherstate estimation.
dc.titleOutput-feedback model predictive control of sewer networks through moving horizon estimation
dc.typeConference report
dc.contributor.groupUniversitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.contributor.groupUniversitat Politècnica de Catalunya. SIC - Sistemes Intel·ligents de Control
dc.description.peerreviewedPeer Reviewed
dc.subject.inspecClassificació INSPEC::Control theory::Optimal control
dc.rights.accessOpen Access
dc.description.versionPostprint (author’s final draft)
local.citation.authorJoseph, B.; Ocampo-Martinez, C.A.; Cembrano, M.
local.citation.contributorIEEE Conference on Decision and Control
local.citation.pubplaceLos Angeles
local.citation.publicationName2014 IEEE 53rd Annual Conference on Decision and Control (CDC)

Files in this item


This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain