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Event-Triggered Steering Control for Semiautonomous Vehicles with a Stochastic Driver Model

  • University of Science and Technology Beijing
  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes an event-triggered steering control design for the lane-keeping of semiautonomous ground vehicles. In the proposed design method, a stochastic driver model accounting for the driver's mental states is proposed to characterize the steering behavior of human drivers. The actual driver mental states are hidden to the steering controller of the vehicles. A hidden Markov model is applied in the vehicle's steering controller design. By Lyapunov synthesis, a sufficient condition on the closed-loop stochastic stability with a disturbance attenuation level is provided for the driver-in-the-loop steering error dynamics of the vehicles. Simultaneously, a state-based event-triggered rule is determined by virtue of Lyapunov stability analysis. Finally, some simulation results are provided to support the proposed design method.

Original languageEnglish
Title of host publicationProceedings - 2nd China Symposium on Cognitive Computing and Hybrid Intelligence, CCHI 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages184-189
Number of pages6
ISBN (Electronic)9781728140919
DOIs
StatePublished - Sep 2019
Event2nd China Symposium on Cognitive Computing and Hybrid Intelligence, CCHI 2019 - Xi'an, China
Duration: 21 Sep 201922 Sep 2019

Publication series

NameProceedings - 2nd China Symposium on Cognitive Computing and Hybrid Intelligence, CCHI 2019

Conference

Conference2nd China Symposium on Cognitive Computing and Hybrid Intelligence, CCHI 2019
Country/TerritoryChina
CityXi'an
Period21/09/1922/09/19

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