Enabling reliable control with communication constraints

dc.contributor.advisorHeath, Robert W., Jr, 1973-
dc.contributor.advisorTanaka, Takashi, Ph. D.
dc.contributor.committeeMemberChinchali , Sandeep
dc.contributor.committeeMemberLa Cour, Brian `
dc.contributor.committeeMemberShakkottai, Sanjay
dc.creatorCuvelier, Travis Craig
dc.creator.orcid0000-0003-2411-4662
dc.date.accessioned2023-07-18T00:46:04Z
dc.date.available2023-07-18T00:46:04Z
dc.date.created2023-05
dc.date.issued2023-04-13
dc.date.submittedMay 2023
dc.date.updated2023-07-18T00:46:05Z
dc.description.abstractFrom connected vehicles to smart factories, networked autonomous systems will enable future technological advancements. In many such systems, functional requirements like mobility will require that communication between autonomous agents be wireless. To ensure system reliability, and, most importantly, safety, the communication networks that control these autonomous systems will face strict latency and reliability requirements. Wireless resources are fundamentally scarce, and this scarcity is further compounded by the need for high reliability and low latency. This motivates research along two related threads; namely the development of wireless technologies to support the low latency and high reliability requirements of control and the development of communication cost-aware control systems. In this dissertation, we pursue reliable control over wireless via this two-pronged approach. On the channel side, we develop a novel signal processing framework for noncoherent communication using ideas from quantum error correction. This leads to the development of a family of full-diversity space-time block codes for multiantenna wireless communications. The codes are specialized to the domain of ultra-reliable low latency communications (URLLC). On the source side, we derive lower bounds on the minimum feedback bitrate required to sustain a given control performance in a Linear-Quadratic-Gaussian (LQG) control system. We then demonstrate that these bounds are nearly achievable using a time-invariant data compression architecture. We use the proposed architecture to develop algorithms for minimum rate LQG control that are suitable to a real-time implementation.
dc.description.departmentElectrical and Computer Engineering
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/2152/120499
dc.identifier.urihttp://dx.doi.org/10.26153/tsw/47361
dc.language.isoen
dc.subjectNetwork control theory
dc.subjectInformation theory and control
dc.subjectSource coding for feedback control
dc.subjectQuantum emulation
dc.subjectSpace-time block coding
dc.subjectNoncoherent communication
dc.titleEnabling reliable control with communication constraints
dc.typeThesis
dc.type.materialtext
thesis.degree.departmentElectrical and Computer Engineering
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorThe University of Texas at Austin
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy

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