Distributed Design of Strong Structurally Controllable and Maximally Robust Networks

dc.contributor.advisorAbbas, Waseem
dc.contributor.committeeMemberRuths, Justin
dc.contributor.committeeMemberSummers, Tyler
dc.contributor.committeeMemberKoeln, Justin
dc.creatorSuresh, Johir 1998-
dc.creator.orcid0000-0002-8815-0745
dc.date.accessioned2023-10-16T20:34:26Z
dc.date.available2023-10-16T20:34:26Z
dc.date.created2023-05
dc.date.issuedMay 2023
dc.date.submittedMay 2023
dc.date.updated2023-10-16T20:34:26Z
dc.description.abstractThe design of multiagent networks with certain properties is in general a difficult problem. From a network control perspective, controllability and robustness are two important but opposing properties. In this dissertation, we address the problem of designing networks that are both structurally controllable and maximally robust. To achieve this objective, we propose several network constructions that are strong structurally controllable, for given network parameters the number of nodes N , leaders NL, and diameter D. To measure controllability, we employ the zero-forcing process, and subsequently, maximize the number of edges in the networks. We also evaluate network robustness using Kirchhoff index. To validate our approach, we compare our network constructions with optimal clique chains and perform numerical evaluations. Furthermore, we present a set of graph grammars that enable the distributed construction of these networks. Our work not only exploits the trade-off between controllability and robustness but also provides an optimal graph structure under specific conditions, and a near-optimal one for most cases.
dc.format.mimetypeapplication/pdf
dc.identifier.uri
dc.identifier.urihttps://hdl.handle.net/10735.1/9944
dc.language.isoEnglish
dc.subjectEngineering, Robotics
dc.titleDistributed Design of Strong Structurally Controllable and Maximally Robust Networks
dc.typeThesis
dc.type.materialtext
thesis.degree.collegeSchool of Engineering and Computer Science
thesis.degree.departmentMechanical Engineering
thesis.degree.grantorThe University of Texas at Dallas
thesis.degree.nameMaster of Science

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
SURESH-PRIMARY-2023.pdf
Size:
1.06 MB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 2 of 2
No Thumbnail Available
Name:
proquest_license.txt
Size:
6.37 KB
Format:
Plain Text
Description:
No Thumbnail Available
Name:
license.txt
Size:
1.99 KB
Format:
Plain Text
Description: