University of Illinois Urbana-Champaign

Multi-objective control and coordination of multi-agent systems

Valicka, Christopher

Content Files
Christopher_Valicka.pdf

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https://hdl.handle.net/2142/46676

Description

Title
Multi-objective control and coordination of multi-agent systems
Author(s)
Valicka, Christopher
Issue Date
2014-01-16T17:58:45Z
Director of Research (if dissertation) or Advisor (if thesis)
Stipanović, Dušan M.
Doctoral Committee Chair(s)
Stipanović, Dušan M.
Committee Member(s)
  • Abbas, Ali E.
  • Sreenivas, Ramavarapu S.
  • Voulgaris, Petros G.
Department of Study
Industrial&Enterprise Sys Eng
Discipline
Systems & Entrepreneurial Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Date of Ingest
2014-01-16T17:58:45Z
Keyword(s)
  • Multiattribute utility copula
  • multi-objective control
  • multi-agent system
  • multi-robot testbed
  • dynamic coverage control
Abstract
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.
Graduation Semester
2013-12
Permalink
http://hdl.handle.net/2142/46676
Copyright and License Information
Copyright 2013 Christopher Valicka

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