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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/5109

Title: Sensor Optimisation via H∞Applied to a MAGLEV Suspension System
Authors: Michail, Konstantinos
Zolotas, Argyrios C.
Goodall, Roger M.
Pearson, John T.
Keywords: H-infinity
Sensor optimisation
Genetic algorithms
MAGLEV vehicles
Issue Date: 2009
Publisher: © WASET (World Academy of Science, Engineering and Technology)
Citation: MICHAIL, K. ... et al, 2009. Sensor optimisation via H∞Applied to a MAGLEV Suspension System. International Journal of Electrical, Computer, and Systems Engineering, 3(3), pp. 143-149
Abstract: In this paper a systematic method via H∞ control design is proposed to select a sensor set that satisfies a number of input criteria for a MAGLEV suspension system. The proposed method recovers a number of optimised controllers for each possible sensor set that satisfies the performance and constraint criteria using evolutionary algorithms.
Description: This article was published in the Journal, International Journal of Electrical, Computer, and Systems Engineering [© WASET]. The definitive version is available at: http://www.waset.org/journals/ijecse/v3.php
Version: Published
URI: https://dspace.lboro.ac.uk/2134/5109
ISSN: 1307-5179
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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