Analysis of Decentralized Variable Structure Control for Collective Search by Mobile Robots

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This paper presents an analysis of a decentralized coordination strategy for organizing and controlling a team of mobile robots performing collective search. The alpha-beta coordination strategy is a family of collective search algorithms that allow teams of communicating robots to implicitly coordinate their search activities through a division of labor based on self-selected roIes. In an alpha-beta team. alpha agents are motivated to improve their status by exploring new regions of the search space. Beta a~ents are conservative, and reiy on the alpha agents to provide advanced information on favorable regions of the search space. An agent selects its current ... continued below

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Feddema, J.; Goldsmith, S. & Robinett, R. November 4, 1998.

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  • Sandia National Laboratories
    Publisher Info: Sandia National Laboratories, Albuquerque, NM, and Livermore, CA
    Place of Publication: Albuquerque, New Mexico

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Description

This paper presents an analysis of a decentralized coordination strategy for organizing and controlling a team of mobile robots performing collective search. The alpha-beta coordination strategy is a family of collective search algorithms that allow teams of communicating robots to implicitly coordinate their search activities through a division of labor based on self-selected roIes. In an alpha-beta team. alpha agents are motivated to improve their status by exploring new regions of the search space. Beta a~ents are conservative, and reiy on the alpha agents to provide advanced information on favorable regions of the search space. An agent selects its current role dynamically based on its current status value relative to the current status values of the other team members. Status is determined by some function of the agent's sensor readings, and is generally a measurement of source intensity at the agent's current location. Variations on the decision rules determining alpha and beta behavior produce different versions of the algorithm that lead to different global properties. The alpha-beta strategy is based on a simple finite-state machine that implements a form of Variable Structure Control (VSC). The VSC system changes the dynamics of the collective system by abruptly switching at defined states to alternative control laws . In VSC, Lyapunov's direct method is often used to design control surfaces which guide the system to a given goal. We introduce the alpha-beta aIgorithm and present an analysis of the equilibrium point and the global stability of the alpha-beta algorithm based on Lyapunov's method.

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  • SPIE International Symposium on Intelligent Systems and Advanced Manufacturing; Boston, MA; 11/01-06/1998

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  • Other: DE00001540
  • Report No.: SAND98-2467C
  • Grant Number: AC04-94AL85000
  • Office of Scientific & Technical Information Report Number: 1540
  • Archival Resource Key: ark:/67531/metadc618636

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Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

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  • November 4, 1998

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  • June 16, 2015, 7:43 a.m.

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  • Dec. 6, 2016, 6:58 p.m.

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Feddema, J.; Goldsmith, S. & Robinett, R. Analysis of Decentralized Variable Structure Control for Collective Search by Mobile Robots, article, November 4, 1998; Albuquerque, New Mexico. (digital.library.unt.edu/ark:/67531/metadc618636/: accessed April 24, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.