A multi-level estimation of road condition using an adaptive observer combined with periodical σ-modification

H. Nishira, T. Kawabe, S. Shin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

A method that is designed to distinguish the road condition from several prespecified candidates is proposed in this paper. Although the method allows a systematic design procedure on the basts of a vehicle dynamical model, the method ts not. intended to provide an exact estimation, but to improve robustness against moileling error. A road condition ts characterized by two parameters, and they are estimated by a gradient-based adaptive law combined with periodical σ-modification, which, plays an essential role in multilevel estimation and robustness against modeling error. Field test data of four defferent road condit ions are applied to the proposed algorithm, and it successfully distinguishes the road condition only by prevalent sensors.

Original languageEnglish
Title of host publicationIECON Proceedings (Industrial Electronics Conference)
PublisherIEEE Computer Society
Pages2237-2242
Number of pages6
DOIs
Publication statusPublished - Jan 1 2000
Externally publishedYes

Publication series

NameIECON Proceedings (Industrial Electronics Conference)
Volume1

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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  • Cite this

    Nishira, H., Kawabe, T., & Shin, S. (2000). A multi-level estimation of road condition using an adaptive observer combined with periodical σ-modification. In IECON Proceedings (Industrial Electronics Conference) (pp. 2237-2242). [972623] (IECON Proceedings (Industrial Electronics Conference); Vol. 1). IEEE Computer Society. https://doi.org/10.1109/IECON.2000.972623