A model-based aid for monitoring and controlling a large-scale system

Author

Zinser, Klaus ; Henneman, Richard L.

Author_Institution

Asea Brown Boveri, Heidelberg, West Germany

Volume

19

Issue

4

fYear

1989

Firstpage

888

Lastpage

892

Abstract

Approaches to aiding human performance in monitoring and controlling a large-scale system are considered. One particular approach that is based on a model of human performance is described in detail. The model includes a rule-based representation of procedural knowledge, a frame-based representation of declarative knowledge, and a fuzzy prioritization mechanism to handle rule of conflicts. The online aiding approach is implemented in a simulated large-scale system that requires human monitoring and control. Results from an experimental evaluation of the aid are inconclusive in that they do not demonstrate the benefit of a direct advice-giving system; however, the aiding approach was found helpful in some tasks

Keywords

knowledge representation; large-scale systems; monitoring; user interfaces; declarative knowledge; fuzzy prioritization mechanism; human performance; knowledge representation; large-scale system; model-based aid; monitoring; procedural knowledge; rule of conflicts; rule-based representation; user interfaces; Algebra; Control system synthesis; Humans; Large-scale systems; Monitoring; Neural networks; Neurons; Stability; Sufficient conditions; Symmetric matrices;

fLanguage

English

Journal_Title

Systems, Man and Cybernetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9472

Type

jour

DOI

10.1109/21.35356

Filename

35356