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        <identifier>oai:www.ideals.illinois.edu:2142/46676</identifier>
        <datestamp>2023-07-11</datestamp>
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          <dc:contributor>Stipanović, Dušan M.</dc:contributor>
          <dc:contributor>Stipanović, Dušan M.</dc:contributor>
          <dc:contributor>Abbas, Ali E.</dc:contributor>
          <dc:contributor>Sreenivas, Ramavarapu S.</dc:contributor>
          <dc:contributor>Voulgaris, Petros G.</dc:contributor>
          <dc:creator>Valicka, Christopher</dc:creator>
          <dc:date>2014-01-16T17:58:45Z</dc:date>
          <dc:date>2014-01-16T17:58:45Z</dc:date>
          <dc:date>2013-12</dc:date>
          <dc:date>2014-01-16T17:58:45Z</dc:date>
          <dc:date>2013-12</dc:date>
          <dc:description>In this dissertation, control methodologies for systems of multiple mobile
agents facing multiple objectives are considered. Carefully constructed objective
functions for agents interested in any or all of collision avoidance,
robust communications, waypoint following, and dynamic coverage objectives
are presented. Theory relevant to gradient-like control laws designed
using over-approximations of the maximum function is studied and applications
of developed controllers in simulations and physical experiments are
presented.
Agent behavior resulting from and relevant to the various objectives is
discussed. Amongst the various objective functions, novel formulations for
proximity and global coverage objectives are presented. A novel control law
design is developed based on copula structures from multiattribute decision
theory. Systematic and intuitive methods for determining the tradeoffs between
multiple objectives are presented and applied to the design of multi-agent
control laws.
Using over-approximations of the maximum function, appropriate definitions
are presented to develop the conditions required for an agent to accomplish
multiple objectives. The proposed control laws' suitability for and
ability to be implemented straightforwardly on various multi-agent systems
facing multiple objectives are demonstrated in multiple simulation and experimental
results. The proposed copula based control law and global coverage
approach are discussed and validated through their combined implementation
in a multi-robot testbed.</dc:description>
          <dc:description>Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2013-07-22T21:51:49Z
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          <dc:identifier>http://hdl.handle.net/2142/46676</dc:identifier>
          <dc:language>en</dc:language>
          <dc:rights>Copyright 2013 Christopher Valicka</dc:rights>
          <dc:subject>Multiattribute utility copula</dc:subject>
          <dc:subject>multi-objective control</dc:subject>
          <dc:subject>multi-agent system</dc:subject>
          <dc:subject>multi-robot testbed</dc:subject>
          <dc:subject>dynamic coverage control</dc:subject>
          <dc:title>Multi-objective control and coordination of multi-agent systems</dc:title>
          <dc:type>text</dc:type>
          <degree>
            <disciplineCode>3846</disciplineCode>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <department>Industrial&amp;Enterprise Sys Eng</department>
            <departmentCode>1422</departmentCode>
            <discipline>Systems &amp; Entrepreneurial Engr</discipline>
            <level>Dissertation</level>
            <name>Ph.D.</name>
            <program>PHD:Sys&amp;Entreprnural Eng-UIUC</program>
            <programCode>10KS3846PHD</programCode>
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