Skip to main content

Model predictive control based on mixed H2/H∞ control approach for active vibration control of railway vehicles

Buy Article:

$55.00 plus tax (Refund Policy)

This paper investigates the application of model predictive control technology based on mixed H2/H∞ 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.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Data/Media
No Metrics

Keywords: H2 norm; H∞ norm; active suspension; linear matrix inequality (LMI); model predictive control; railway vehicles

Document Type: Research Article

Affiliations: 1: Control and Power Research Group, Department of Electrical and Electronic Engineering, Imperial College London, UK 2: Control Systems Group, Department of Electronic and Electrical Engineering, Loughborough University, UK

Publication date: 2008-09-01

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more