首页    期刊浏览 2024年10月06日 星期日
登录注册

文章基本信息

  • 标题:Estimating the Membrane Properties of Vestibular Type II Hair Cells using Continuous-time System Identification ⁎
  • 本地全文:下载
  • 作者:Siqi Pan ; James S. Welsh ; Alan M. Brichta
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:548-553
  • DOI:10.1016/j.ifacol.2020.12.477
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this paper we apply a continuous-time system identification method, known as the Simplified Refined Instrumental Variable method for Continuous-time systems (SRIVC), to the problem of estimating membrane properties of vestibular Type II hair cells. Due to the non-ideal characteristics of the experimental system, additional parameters, other than those of the membrane are required to be estimated. The SRIVC algorithm is modified to allow known poles and zeros to be forced into the estimator. This modified algorithm is then applied to the identification of the membrane properties of vestibular Type II hair cells, yielding results commensurate with typically accepted values.
  • 关键词:KeywordsSystem identificationContinuous-time systemsInstrumental variable methodBiological systems
国家哲学社会科学文献中心版权所有