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, Kyoto, Japan, 16-18 September 1998, ISBN 0080430325

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) Enlighten ID: Murray-Smith, Professor 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
• ISBN: 0080430325
• Copyright Holders: Copyright © 1999 Elsevier Science
• First Published: First published in England
• Publisher Policy: Reproduced with the permission of the publisher