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Modelling human control behaviour with a Markov-chain switched bank of control laws

Murray-Smith, R. (1998) Modelling human control behaviour with a Markov-chain switched bank of control laws. In: IFAC/IFIP/IFORS/IEA Conference on Analysis, Design, and Evaluation of Man-Machine Systems, 16-18 September 1998, Kyoto, Japan.

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Abstract

A probabilistic model of human control behaviour is described. It assumes that human behaviour can be represented by switching among a number of relatively simple behaviours. The model structure is closely related to the Hidden Markov Models (HMMs) commonly used for speech recognition. An HMM with context-dependent transition functions switching between linear control laws is identified from experimental data. The applicability of the approach is demonstrated in a pitch control task for a simplified helicopter model.

Item Type:Conference Proceedings
Keywords:multiple model systems, Hidden Markov Models, human-machine interface, learning algorithms, Human-machine interaction, flight control, simulation
Status:Published
Refereed:Yes
Glasgow Author(s):Murray-Smith, Prof Roderick
Authors: Murray-Smith, R.
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
College/School:College of Science and Engineering > School of Computing Science
Publisher:Elsevier Science
Copyright Holders:Copyright © 1999 Elsevier Science
First Published:First published in England
Publisher Policy:Reproduced with the permission of the publisher

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