|A New Parameter Identification Algorithm for a Class of Second Order Nonlinear Systems: An On-line Closed-loop Approach
International Journal of Control, Automation, and Systems, vol. 16, no. 3, pp.1142-1155, 2018
Abstract : "This paper presents a novel on-line closed-loop parameter identification algorithm for second order nonlinear
systems. Parameter convergence of the proposed methodology is ensured by means of a rigorous Lyapunovbased
analysis. The estimated parameters are obtained using the actual and an estimation system. Algebraic techniques
are applied for estimating velocity and acceleration signals, which are required in the proposed algorithm. A
comparative analysis allows assessing the performance of the new parameter identification algorithm with respect
to on-line and off-line least squares algorithms. Numerical simulations indicate that the proposed methodology
allows estimating different types of non-linearities, converges faster than other methodologies, is robust against
disturbances, outperforms on-line techniques, and provides similar estimates as an off-line technique, but without
requiring any type of data pre-processing."
"Algebraic velocity and acceleration estimation, least squares, parameter identification, persistent excitation, second order nonlinear system."