Title :
Parameter identification of non-linear system using traditional and high order sliding modes
Author :
Baev, S. ; Shkolnikov, I. ; Shtessel, Y. ; Poznyak, A.
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;
Conference_Titel :
American Control Conference, 2006
Conference_Location :
Minneapolis, MN
Print_ISBN :
1-4244-0209-3
Electronic_ISBN :
1-4244-0209-3
DOI :
10.1109/ACC.2006.1656620
