Sliding modes time varying matrix identification for stochastic system

Authors:
A. Poznyak;J. Escobar;Y. Shtessel
Affiliations:
CINVESTAV-IPN, Departamento de Control Automático, A.P. 14-740, CP 07000, México, D.F;Electrical Engineering Department, University of Alabama in Huntsville, Huntsville, AL 35899, USA;Electrical Engineering Department, University of Alabama in Huntsville, Huntsville, AL 35899, USA
Venue:
International Journal of Systems Science - Advances in Sliding Mode Observation and Estimation (Part Two)
Year:
2007

Citing 2
Cited 0

Robust exact differentiation via sliding mode technique

Automatica (Journal of IFAC)
Ordinary Differential Equations

Ordinary Differential Equations

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Abstract

Time varying parameters identification of stochastic systems is addressed via sliding mode parameter observers. Sliding mode observer is governed by control that compensates a so-called Ito's term, which reflects a stochastic nature of a system. The matrix estimation algorithm based on equivalent control is proposed. A numerical example illustrates the effectiveness of the proposed approach.