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  • 标题:Observer design for state and parameter estimation in a landslide model
  • 本地全文:下载
  • 作者:Mohit Mishra ; Gildas Besançon ; Guillaume Chambon
  • 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:16709-16714
  • DOI:10.1016/j.ifacol.2020.12.1116
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper presents an observer-based state and parameter estimation for the extended sliding-consolidation model of a landslide. This system is described by a pair of coupled Ordinary Differential Equation (ODE) and Partial Differential Equation (PDE), with a mixed boundary condition for the PDE. The coupling appears both in the ODE and in the Neuman boundary condition of the PDE. The observer consists of a copy of the PDE part of the system and Kalman-like observer for the ODE. It is shown to ensure exponential convergence of the state and parameter estimates by means of Lyapunov tool. Finally, a simulation result of the extended sliding-consolidation model is presented to illustrate the effectiveness of the proposed observer.
  • 关键词:KeywordsState estimationparameter estimationextended sliding-consolidation modelcoupled ODE-PDE systemobserver
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