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Consensus Variable Approach to Decentralized Adaptive Scheduling

In: Cooperative Systems

Author

Listed:
  • Kevin L. Moore

    (Colorado School of Mines)

  • Dennis Lucarelli

    (Johns Hopkins University Applied Physics Laboratory)

Abstract

Summary We present a new approach to solving adaptive scheduling problems in decentralized systems, based on the concept of nearest-neighbor negotiations and the idea of a consensus variable. Exploiting some recent extensions to existing results for single consensus variables, the adaptive scheduling problem is solved by choosing task timings as the consensus variables in the system. This application is illustrated via the example of a synchronized strike mission. The chapter concludes with a discussion of future research directions on this topic.

Suggested Citation

  • Kevin L. Moore & Dennis Lucarelli, 2007. "Consensus Variable Approach to Decentralized Adaptive Scheduling," Lecture Notes in Economics and Mathematical Systems, in: Don Grundel & Robert Murphey & Panos Pardalos & Oleg Prokopyev (ed.), Cooperative Systems, pages 157-169, Springer.
    • Handle: RePEc:spr:lnechp:978-3-540-48271-0_10
    DOI: 10.1007/978-3-540-48271-0_10
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