DocumentCode :
706568
Title :
Synthesis of nonlinear observers via structural analysis and numerical differentiation
Author :
Plestan, Franck ; Grizzle, J.W.
Author_Institution :
LSIIT, Univ. Louis Pasteur, Illkirch-Graffenstaden, France
fYear :
1999
fDate :
Aug. 31 1999-Sept. 3 1999
Firstpage :
1428
Lastpage :
1433
Abstract :
Recent work in nonlinear observer design has sought to bring together the structural (or transformation based) approach found in [8, 5, 1, 11] and the numerical differentiation approach found in [4]. The goal is to achieve higher flexibility and wider applicability than is possible with either approach alone. In this paper, it is noted that any observable, autonomous system admitting an equilibrium point can be expressed as a state-affine system parameterized by the output and its derivatives. A class of (single-output) systems is identified that admit parameterizations with fewer than n - 1 derivatives, where n is the dimension of the state.
Keywords :
nonlinear systems; numerical analysis; observers; autonomous system; nonlinear observer design; nonlinear observer synthesis; numerical differentiation; numerical differentiation approach; structural analysis; Noise; Noise measurement; Observability; Observers; Polynomials; Smoothing methods; Time measurement; Nonlinear observers; extended linearization; numerical differentiation; state-affine systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ECC), 1999 European
Conference_Location :
Karlsruhe
Print_ISBN :
978-3-9524173-5-5
Type :
conf
Filename :
7099512
Link To Document :
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