CONTROL OF A DISCRETE STOCHASTIC PROCESS AS A FUNCTION OF THE COSTS FOR MAKING CORRECTIVE ACTIONS.

Abstract

This research examines man's ability to control a discrete stochastic process. The cost (C1) for correcting the process before it exceeded an arbitrary tolerance limit served as the experimencal variable. The cost (C2) for correcting this process after it exceeded the tolerance limit was fixed. For low C1 costs the human controller achieved optimum control (i.e., minimized control cost) within four 100-cycle trials. For high C1 costs the human controller achieved a level of control equivalent to that of the optimum controller on the first 100-cycle trial. An additional requirement to serve as a statistical sensor was imposed in controlling the process under low C1 cost conditions. The human controller's response to this requirement was appropriate. The implications of these results to the design of discrete stochastic process controllers is discussed. (Author)

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1963
Accession Number
AD0432826

Entities

People

  • John P. Hornseth
  • Walter J. Huebner
  • William H. Pearson

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Mathematics
  • Motor Skills
  • Musculoskeletal And Neural Physiology
  • Probability
  • Stochastic Processes

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Logistics and Supply Chain Management.
  • Regression Analysis.