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.
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|
|Glasgow Author(s) Enlighten ID:||Murray-Smith, Professor Roderick|
|Subjects:||T Technology > TK Electrical engineering. Electronics Nuclear engineering|
|College/School:||College of Science and Engineering > School of Computing Science|
|Copyright Holders:||Copyright © 1999 Elsevier Science|
|First Published:||First published in England|
|Publisher Policy:||Reproduced with the permission of the publisher|