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Hierarchical control for path tracking of autonomous vehicles

Authors: Changfang Chen; Yingmin Jia; Junping Du 0001; Jun Zhang 0007;

Hierarchical control for path tracking of autonomous vehicles

Abstract

This paper studies the path tracking problem for autonomous vehicles in the presence of uncertainties in both tire-road condition and aerodynamic drag. A hierarchical control architecture is adopted, which includes active front wheel steering in combination with low level control of the longitudinal wheel slip. To cope with the unknown and non-uniform road condition parameters appearing in the actuator models, an adaptive law is designed for each wheel, and the wheel longitudinally slipping is required to establish parameter convergence. The stability of the closed-loop system is analyzed by utilizing Lyapunov function approach. Simulation results are included to illustrate the proposed control scheme.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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