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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/5507

Title: Model predictive control based on mixed H2/H∞ control approach for active vibration control of railway vehicles
Authors: Orukpe, Patience E.
Zheng, Xiang
Jaimoukha, I.M.
Zolotas, Argyrios C.
Goodall, Roger M.
Keywords: Railway vehicles
Active suspension
Model predictive control
H2 norm
H1 norm
Linear matrix inequality (LMI)
Issue Date: 2008
Publisher: © Taylor & Francis
Citation: ORUKPE, P.E. ... et al, 2008. Model predictive control based on mixed H2/H∞ control approach for active vibration control of railway vehicles. Vehicle System Dynamics: International Journal of Vehicle Mechanics and Mobility, 46(S1), pp. 151-160.
Abstract: This paper investigates the application of Model Predictive Control (MPC) technology based on mixed H2/H1 control approach for active suspension control of a railway vehicle, the aim being to improve the ride quality of the railway vehicle. Comparisons are made with more conventional control approaches, and the applicability of the linear matrix inequality approach is illustrated via the railway vehicle example.
Description: This article was published in the journal, Vehicle System Dynamics [© Taylor & Francis] and the definitive version is available at: http://dx.doi.org/10.1080/00423110701882371
Version: Accepted for publication
DOI: 10.1080/00423110701882371
URI: https://dspace.lboro.ac.uk/2134/5507
ISSN: 1744-5159
0042-3114
Appears in Collections:Published Articles (Electronic, Electrical and Systems Engineering)

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