Design of optimized backstepping controller for the synchronization of chaotic Colpitts oscillator using shark smell algorithm

Autor:	Fouladi, Ehsan, Mojallali, Hamed
Rok vydání:	2019
Předmět:	Computer Science - Systems and Control Electrical Engineering and Systems Science - Signal Processing Mathematics - Optimization and Control
Druh dokumentu:	Working Paper
DOI:	10.1007/s12043-017-1504-y
Popis:	In this paper, an adaptive backstepping controller has been tuned to synchronize two chaotic Colpitts oscillators in a master slave configuration. The parameters of the controller are determined using shark smell optimization (SSO) algorithm. Numerical results are presented and compared with those of particle swarm optimization (PSO) algorithm. Simulation results show better performance in terms of accuracy and convergence for the proposed optimized method compared to PSO optimized controller or any non-optimized backstepping controller.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1904.06579 Zobrazit plný text záznamu View this record from Arxiv