Sliding mode parameter identification of systems with measurement noise

Identification problem in a nonlinear 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.