DocumentCode
2279926
Title
Parameter identification of non-linear system using traditional and high order sliding modes
Author
Baev, S. ; Shkolnikov, I. ; Shtessel, Y. ; Poznyak, A.
fYear
2006
fDate
14-16 June 2006
Abstract
Identification problem of a non-linear system with constant coefficients is addressed via traditional and high-order sliding mode parameter observer based on the least-squares continuous-time technique. Measurement noise effects on the parameter estimation algorithm are analyzed. The effectiveness of the proposed method is verified via the parameter estimation in a second-order system with noisy measurement
Keywords
continuous time systems; nonlinear control systems; observers; parameter estimation; variable structure systems; least-squares continuous-time technique; nonlinear system; parameter estimation; parameter identification; sliding mode parameter observer; Algorithm design and analysis; Control systems; Convergence; Filters; Gaussian processes; Noise measurement; Nonlinear equations; Parameter estimation; Sliding mode control; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2006
Conference_Location
Minneapolis, MN
Print_ISBN
1-4244-0209-3
Electronic_ISBN
1-4244-0209-3
Type
conf
DOI
10.1109/ACC.2006.1656620
Filename
1656620
Link To Document