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Adaptive Fuzzy Approaches to Modelling Operator Functional States in a Human-Machine Process Control System

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7 Author(s)
M. Mahfouf ; Department of Automatic Control and Systems, The University of Sheffield, United Kingdom. e-mail: ; J. Zhang ; D. A. Linkens ; A. Nassef
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This paper assesses the operator functional state (OFS) of human operators based on a collection of psychophysiological and performance measures. Two types of adaptive fuzzy models, namely ANFIS (adaptive-network-based fuzzy inference system) and GA (genetic algorithm) based Mamdani fuzzy model, are employed to estimate the OFSs under a set of simulated process control tasks involved in an automation-enhanced cabin air management system (aCAMS). The adaptive fuzzy modelling procedures are described and then validated using real-life data measured from such a simulated human-machine process control system.

Published in:

2007 IEEE International Fuzzy Systems Conference

Date of Conference:

23-26 July 2007