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Monitoring Behavior and Supervisory Control pp 271–281Cite as

Toward a General Model of Supervisory Control

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Part of the book series: NATO Conference Series ((HF,volume 1))

Abstract

The supervisory control paradigm applies to situations where a person allocates his attention among various graphical or alphanumeric displays and intermittently communicates new programs to a computer which itself is in continuous direct control of a physical process. It applies, for example, to piloting or ground control of modern aircraft, to supervision of nuclear power plants and large chemical plants, to monitoring and reprogramming of industrial robots (see preview paper on models in this volume). Figure 1 illustrates the supervisory paradigm. The functions of each of the five elements are listed in the figure below the corresponding box.

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References

  1. Sheridan, T.B. and Ferrell, W.R., Man-Machine Systems, M.I.T. Press, Cambridge, Mass., 1974.

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  2. Kaiman, R.E., “A New Approach to Linear Filtering and Prediction Problems”, JOURNAL OF BASIC ENGINEERING, Trans. ASME, Vol. 82D, 1960, pp. 33–45.

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  3. Hardin, P.A., Whitney, D.E. and Sheridan, T.B., “And Tree” Computer Data Structures for Supervisory Control of Manipulation: Proc. 1972 IEEE Intl. Conf. on Systems, Man and Cybernetics, October 9–12, 1972, Washington, D.C., 72-CHO-6478-SMC.

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Author information

Authors and Affiliations

  1. Massachusetts Institute of Technology, Cambridge, Massachusetts, 02139, USA

    Thomas B. Sheridan

Authors
  1. Thomas B. Sheridan
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Editors and Affiliations

  1. Massachusetts Institute of Technology, Cambridge, Massachusetts, USA

    Thomas B. Sheridan

  2. Research Institute for Human Engineering, Meckenheim, Federal Republic of Germany

    Gunnar Johannsen

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© 1976 Plenum Press, New York

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Sheridan, T.B. (1976). Toward a General Model of Supervisory Control. In: Sheridan, T.B., Johannsen, G. (eds) Monitoring Behavior and Supervisory Control. NATO Conference Series, vol 1. Springer, Boston, MA. https://doi.org/10.1007/978-1-4684-2523-9_22

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  • DOI: https://doi.org/10.1007/978-1-4684-2523-9_22

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4684-2525-3

  • Online ISBN: 978-1-4684-2523-9

  • eBook Packages: Springer Book Archive

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