Chua Chaotic System Parameters Estimation using PSO Algorithm to increase its Dynamics

In this article, we estimate the parameters of the Chua system using PSO optimization algorithm by exploiting the property of chaotic synchronization; in order to increase the chaotic dynamics and this is done by the modifications of the parameters of a nonlinear dynamical system to obtain optimal parameter values that result in the most chaotic system. Parameter estimation is formulated as a multidimensional optimization problem that aims to minimize the synchronization error between two chaotic systems. To verify the accuracy and robustness of the proposed algorithm in parameter estimation, a Chua system is simulated and comparison experiments are performed. Through the results obtained, the efficiency of the algorithm was efficient in the estimation of the parameters, where we obtained a more chaotic system at the estimated values