Control Node and Sensor Selection in Dynamical Systems

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dc.contributor.advisorTaha, Ahmad F.
dc.contributor.authorNugroho, Sebastian Adi
dc.contributor.committeeMemberGatsis, Nikolaos
dc.contributor.committeeMemberQian, Chunjiang
dc.contributor.committeeMemberHoang, Vu
dc.creator.orcidhttps://orcid.org/0000-0001-7555-687X
dc.date.accessioned2024-02-12T18:28:59Z
dc.date.available2024-02-12T18:28:59Z
dc.date.issued2021
dc.descriptionThis item is available only to currently enrolled UTSA students, faculty or staff. To download, navigate to Log In in the top right-hand corner of this screen, then select Log in with my UTSA ID.
dc.description.abstractComplex dynamical systems are comprised of many interconnected, smaller subsystems whereeach is characterized by its own dynamics, control nodes, and a set of measurements. These dynamicalsystems are governed by mean of actuators applied to the control nodes and often, in thecase where not all states are accessible, the state trajectories need be estimated by mean of measurementsobtained from the sensors. Although it is preferred to use all control nodes and sensorsto perform control, utilizing large number of control nodes and sensors is not practical and cost-effectiveespecially for large-scale dynamical systems. To that end, this dissertation is dedicated toaddress the problem of control node and/or sensor selection: the search of the best configurationof control nodes and sensors such that the overall system is controllable and/or observable whileoptimizing some user-defined metrics and satisfying some logistical constraints. Several researchobjectives are considered herein: (a) investigating the joint control node and sensor selection forstabilization via static state-feedback control approach of linear dynamical systems, (b) proposing ageneral framework to solve the control node and sensor selection for nonlinear dynamical systems,(c) introducing a unified framework to parameterize the constants characterizing the correspondingnonlinearities, (d) exploring a Gramian-based approach to place sensors in traffic networks, and(e) proposing the concept of average observability to efficiently solve the sensor selection usingGreedy algorithms.
dc.description.departmentElectrical and Computer Engineering
dc.format.extent252 pages
dc.format.mimetypeapplication/pdf
dc.identifier.isbn9798516060212
dc.identifier.urihttps://hdl.handle.net/20.500.12588/4749
dc.languageen
dc.subjectactuator selection
dc.subjectbranch-and-bound algorithm
dc.subjectcyber-physical systems
dc.subjectnonlinear dynamical systems
dc.subjectoptimization
dc.subjectsensor selection
dc.subject.classificationElectrical engineering
dc.subject.classificationApplied mathematics
dc.subject.classificationSystems science
dc.subject.lcshDynamics -- Mathematical models
dc.titleControl Node and Sensor Selection in Dynamical Systems
dc.typeThesis
dc.type.dcmiText
dcterms.accessRightspq_closed
thesis.degree.departmentElectrical and Computer Engineering
thesis.degree.grantorUniversity of Texas at San Antonio
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy

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