Estimation & control in spatially distributed cyber physical systems

dc.contributor.authorDeshmukh, Siddharth
dc.date.accessioned2013-04-26T16:05:40Z
dc.date.available2013-04-26T16:05:40Z
dc.date.graduationmonthMayen_US
dc.date.issued2013-04-26
dc.date.published2013en_US
dc.description.abstractA cyber physical system (CPS) is an intelligent integration of computation and communication infrastructure for monitoring and/or control of an underlying physical system. In this dissertation, we consider a specific class of CPS architectures where state of the system is spatially distributed in physical space. Examples that fit this category of CPS include, smart distribution gird, smart highway/transportation network etc. We study state estimation and control process in such systems where, (1) multiple sensors and actuators are arbitrarily deployed to jointly sense and control the system; (2) sensors directly communicate their observations to a central estimation and control unit (ECU) over communication links; and, (3) the ECU, on computing the control action, communicates control actions to actuators over communication links. Since communication links are susceptible to random failures, the overall estimation and control process is subjected to: (1) partial observation updates in estimation process; and (2) partial actuator actions in control process. We analyze stochastic stability of estimation and control process, in this scenario by establishing the conditions under which estimation accuracy and deviation from desired state trajectory is bounded. Our key contribution is the derivation of a new fundamental result on bounds for critical probabilities of individual communication link failure to maintain stability of overall system. The overall analysis illustrates that there is trade-off between stability of estimation and control process and quality of underlying communication network. In order to demonstrate practical implication of our work, we also present a case study in smart distribution grid as a system example of spatially distributed CPSs. Voltage/VAR support via distributed generators is studied in a stochastic nonlinear control framework.en_US
dc.description.advisorBalasubramaniam Natarajanen_US
dc.description.degreeDoctor of Philosophyen_US
dc.description.departmentDepartment of Electrical and Computer Engineeringen_US
dc.description.levelDoctoralen_US
dc.description.sponsorshipDepartment of Energy grant #: DE-EEC0000555en_US
dc.identifier.urihttp://hdl.handle.net/2097/15635
dc.language.isoen_USen_US
dc.publisherKansas State Universityen
dc.subjectKalman filteren_US
dc.subjectLinear quadratic controlen_US
dc.subjectCyber-physical systemen_US
dc.subjectStochastic stabilityen_US
dc.subject.umiElectrical Engineering (0544)en_US
dc.titleEstimation & control in spatially distributed cyber physical systemsen_US
dc.typeDissertationen_US

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