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Towards intelligent autonomous control systems: Architecture and fundamental issues

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Abstract

Autonomous control systems are designed to perform well under significant uncertainties in the system and environment for extended periods of time, and they must be able to compensate for system failures without external intervention. Intelligent autonomous control systems use techniques from the field of artificial intelligence to achieve this autonomy. Such control systems evolve from conventional control systems by adding intelligent components, and their development requires interdisciplinary research. A hierarchical functional intelligent autonomous control architecture is introduced here and its functions are described in detail. The fundamental issues in autonomous control system modelling and analysis are discussed.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Notre Dame, 46556, Notre Dame, IN, USA

    P. J. Antsaklis & K. M. Passino

  2. Jet Propulsion Laboratory, MS 198-326, 4800 Oak Grove Drive, 91109, Pasadena, CA, USA

    S. J. Wang

Authors
  1. P. J. Antsaklis
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  2. K. M. Passino
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  3. S. J. Wang
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Antsaklis, P.J., Passino, K.M. & Wang, S.J. Towards intelligent autonomous control systems: Architecture and fundamental issues. J Intell Robot Syst 1, 315–342 (1989). https://doi.org/10.1007/BF00126465

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  • DOI: https://doi.org/10.1007/BF00126465

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