文章基本信息

标题：Observer design for state and parameter estimation in a landslide model
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作者：Mohit Mishra ; Gildas Besançon ; Guillaume Chambon 等
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