DocumentCode :
3522684
Title :
Robust observer design for a class of stochastic nonlinear systems
Author :
Barbata, Asma ; Zasadzinski, Michel ; Souley Ali, Harouna ; Messaoud, Hassani
Author_Institution :
Centre de Rech. en Autom. de Nancy (CRAN-UMR 7039), Univ. de Lorraine, Nancy, France
fYear :
2013
fDate :
10-13 Dec. 2013
Firstpage :
594
Lastpage :
599
Abstract :
This contribution deals with the robust observer design of some nonlinear stochastic systems with multiplicative noises. The drift part of the considered systems contain a linear part, a bilinear one and a Lipschitz nonlinearity. The uncertainties that affect the system concern all the matrices of the dynamics of this one. The parametric uncertainties under consideration are unstructured and norm-bouded. The observer design is formulated in terms of LMI to be satisfied in order to obtain the observer gains. Our approach ensures the almost sure exponential stability of the estimation error which is less conservative than the usual mean-square exponential stability.
Keywords :
asymptotic stability; linear matrix inequalities; nonlinear control systems; observers; robust control; stochastic systems; LMI; Lipschitz nonlinearity; bilinear part; drift part; estimation error; exponential stability; linear part; multiplicative noises; nonlinear stochastic systems; norm-bouded parametric uncertainties; robust observer design; unstructured parametric uncertainties; Control theory; Lyapunov methods; Observers; Robustness; Stability; Stochastic systems; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location :
Firenze
ISSN :
0743-1546
Print_ISBN :
978-1-4673-5714-2
Type :
conf
DOI :
10.1109/CDC.2013.6759946
Filename :
6759946
Link To Document :
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