%0 Journal Article
%A WU Lin-chong
%A XIAO Jing-hua
%A YAN Zi-xiang
%T Parameter Identification of Chaotic Systems Based on High-Order Correlation Computations
%D 2019
%R 10.13190/j.jbupt.2019-021
%J Journal of Beijing University of Posts and Telecommunications
%P 15-21
%V 42
%N 5
%X In order to reduce the influence of system nonlinearity and noise on the effect of parameter identification, the high-order correlation computations (HOCC) with missing variables and noise is used to identify the dynamic parameters of real chaotic Chua's circuit, based on both simulation and experimental data of a single chua's circuit and a coupled chua's circuit. The results showed that the relative errors between identifications and calibration parameters of the experiments can be controlled within 20%, which means HOCC not only has good robustness to noise but also solves the problem produced by the missing data of the current of inductance. This work provided a benchmark for the measurement of instrument parameters of Chua's circuit, and could further apply on the parameter identification of other complicated networks.
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2019-021