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Related Experiment Videos

Toward a systems- and control-oriented agent framework.

Kingsley Fregene1, Diane C Kennedy, David W L Wang

  • 1Honeywell Laboratories, Minneapolis, MN 55418, USA. kocfrege@ieee.org

IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society
|October 26, 2005
PubMed
Summary

This study introduces the hybrid intelligent control agent (HICA), integrating knowledge-based planning with hybrid control for coordinated multi-vehicle systems. The framework enables intelligent agents to manage complex, multi-mode dynamical systems effectively.

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Area of Science:

  • Robotics and Control Systems
  • Artificial Intelligence
  • Systems Engineering

Background:

  • Coordinated control of multiple dynamical systems is challenging.
  • Integrating intelligent planning with verified control primitives is complex.
  • Existing frameworks may not adequately address multi-mode systems.

Purpose of the Study:

  • To develop a novel intelligent agent framework for coordinated control.
  • To integrate knowledge-based planning with verified hybrid control primitives.
  • To demonstrate the framework's application in multi-vehicle systems.

Main Methods:

  • Development of the hybrid intelligent control agent (HICA) framework.
  • Composition of HICA into multiagent systems.
  • Application to a pursuit-evasion war game scenario with unmanned vehicles.

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  • Simulation-based validation of the control scheme.
  • Main Results:

    • Successful implementation of the HICA framework.
    • Demonstrated coordinated control of multiple unmanned vehicles.
    • Effective performance in a simulated pursuit-evasion scenario.
    • Validation of integrated planning and control capabilities.

    Conclusions:

    • The HICA framework provides a viable approach for coordinated control of complex systems.
    • The integration of intelligent planning and hybrid control is effective.
    • The framework shows promise for applications in autonomous systems and robotics.