• DocumentCode
    3292341
  • Title

    Periodic optimal search control considering reduction of energy consumption

  • Author

    Saito, M. ; Hatanaka, T. ; Fujita, M.

  • Author_Institution
    Dept. of Mech. & Control Eng., Tokyo Inst. of Technol., Tokyo, Japan
  • fYear
    2010
  • fDate
    June 30 2010-July 2 2010
  • Firstpage
    6442
  • Lastpage
    6447
  • Abstract
    This paper investigates an optimal search problem under the assumption that a target to be found appears randomly and stays for a fixed time interval. We first formulate the search problem as an optimization problem to maximize the probability of finding the target while reducing the control energy consumption, and provide an approximate solution to this problem. Then, we clarify a necessary and sufficient condition for the agent´s behavior to converge to a periodic trajectory. We moreover present a cooperative search strategy of multi-agent systems. The effectiveness of the proposed methods is demonstrated through numerical simulation.
  • Keywords
    multi-agent systems; numerical analysis; optimal control; periodic control; search problems; cooperative search strategy; energy consumption; multi-agent systems; numerical simulation; periodic optimal search control; periodic trajectory; Energy consumption; Mechanical sensors; Medical services; Multiagent systems; Numerical simulation; Object detection; Operations research; Optimal control; Search problems; Sufficient conditions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2010
  • Conference_Location
    Baltimore, MD
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-7426-4
  • Type

    conf

  • DOI
    10.1109/ACC.2010.5531464
  • Filename
    5531464