On recovering the parametric model of the Chua system via a gradient algorithm

Abstract

The Chua circuit parameter estimation problem is addressed in this paper. This circuit is algebraically observable and identifiable with respect to its two measurable voltages. This fact allows us to straightforwardly propose two linear estimators for recovering the unknown parameters, where the estimator gains are continuously adjusted by means of a gradient algorithm, until the estimated parameters converge to the actual values. The convergence of this method is demonstrated by using the Lyapunov method.