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Stability of a class of discrete-time nonlinear recursive observers

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Title Stability of a class of discrete-time nonlinear recursive observers
 
Creator HUANG, R
PATWARDHAN, SC
BIEGLER, LT
 
Subject extended kalman filter
state
discrete-time nonlinear recursive observers
nominal and robust stability
 
Description This work provides a framework for nominal and robust stability analysis for a class of discrete-time nonlinear recursive observers (DNRO). Given that the system has linear output mapping, local observability and Jacobian matrices satisfying certain conditions, the nominal and robust stability of the DNRO is defined by the property of estimation error dynamics and is analyzed using Lyapunov theory. Moreover, a simultaneous state and parameter estimation scheme is shown to be Input-to-State Stable (ISS), and adaptively reduce plant-model mismatch on-line. Three design strategies of the DNRO that satisfy the stability results are given as examples, including the widely used extended Kalman filter, extended Luenberger observer, and the fixed gain observer.
 
Publisher ELSEVIER SCI LTD
 
Date 2011-07-22T13:22:39Z
2011-12-26T12:52:26Z
2011-12-27T05:37:48Z
2011-07-22T13:22:39Z
2011-12-26T12:52:26Z
2011-12-27T05:37:48Z
2010
 
Type Article
 
Identifier JOURNAL OF PROCESS CONTROL, 20(10), 1150-1160
0959-1524
http://dx.doi.org/10.1016/j.jprocont.2010.06.020
http://dspace.library.iitb.ac.in/xmlui/handle/10054/6242
http://hdl.handle.net/10054/6242
 
Language en