Agent-Based Control of Spatially Distributed Chemical Reactor Networks

  • Eric Tatara
  • Michael North
  • Cindy Hood
  • Fouad Teymour
  • Ali Cinar
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3910)


Large-scale spatially distributed systems provide a unique and difficult control challenge because of their nonlinearity, spatialdistribution and generally high order. The control structure for these systems tend to be both discrete and distributed as well and contain discrete and continuous elements. A layered control structure interfaced with complex arrays of sensors and actuators provides a flexible supervision and control system that can deal with local and global challenges. An adaptive agent-based control structure is presented whereby local control objectives may be changed in order to achieve the global control objective. Information is shared through a global knowledge environment that promotes the distribution of ideas through reinforcement. The performance of the agent-based control approach is illustrated in a case study where the interaction front between two competing autocatalytic species is moved from one spatial configuration to another. The multi-agent control system is able to effectively explore the parameter space of the network and intelligently manipulate the network flow rates such that the desired spatial distribution of species is achieved.


Reactor Network Manipulate Variable Decision Agent Knowledge Space Trivial Steady State 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Eric Tatara
    • 1
  • Michael North
    • 2
  • Cindy Hood
    • 1
  • Fouad Teymour
    • 1
  • Ali Cinar
    • 1
  1. 1.Illinois Institute of TechnologyChicagoUSA
  2. 2.Argonne National LabArgonne

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