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Content Provider | IEEE Xplore Digital Library |
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Author | Canale, M. Fagiano, L. |
Copyright Year | 2008 |
Description | Author affiliation: Dipt. di Autom. e Inf., Politec. di Torino, Turin, Italy (Canale, M.; Fagiano, L.) |
Abstract | A model predictive control approach to improve vehicle yaw rate dynamics by means of a rear active differential is introduced. In particular, the use of nonlinear predictive controllers is investigated to show their effectiveness in the vehicle stability control context. In order to allow the online implementation of the designed predictive control law, a fast technique based on set membership approximation methodologies using a nearest point approach is adopted. Enhancements on stability in demanding conditions such as ¿-split braking and damping properties in impulsive maneuvers are shown through simulation results performed on an accurate nonlinear model of the vehicle. Improvements over a well assessed approach which employ an enhanced IMC structure to handle input constraints will be shown too. |
Starting Page | 5360 |
Ending Page | 5365 |
File Size | 276869 |
Page Count | 6 |
File Format | |
ISBN | 9781424431236 |
ISSN | 01912216 |
DOI | 10.1109/CDC.2008.4738779 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-12-09 |
Publisher Place | Mexico |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Predictive control Stability Predictive models Vehicle dynamics Automatic control Piecewise linear approximation Damping Vehicle driving Control systems Remotely operated vehicles |
Content Type | Text |
Resource Type | Article |
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