@inproceedings{e07dad424d454464b2d1bbe0ee416c48,
title = "Particle swarm optimization for chaotic system parameter estimation",
abstract = "A study is presented on the application of particle swarm optimization (PSO) for estimation of parameters in chaotic systems. The parameter estimation is formulated as a nonlinear optimization problem using PSO to minimize the synchronization error for the observable states of the actual system and its mathematical model. The procedure is illustrated using a typical chaotic system of Lorenz equations. The effectiveness of different variants of PSO on parameter estimation is studied with a wide search range of parameters.The results show the capability of the proposed PSO based approach in estimating the chaotic system parameters even in the presence of observation noise.",
author = "B. Samanta and C. Nataraj",
year = "2009",
doi = "10.1109/SIS.2009.4937847",
language = "English",
isbn = "9781424427628",
series = "2009 IEEE Swarm Intelligence Symposium, SIS 2009 - Proceedings",
pages = "74--80",
booktitle = "2009 IEEE Swarm Intelligence Symposium, SIS 2009 - Proceedings",
note = "2009 IEEE Swarm Intelligence Symposium, SIS 2009 ; Conference date: 30-03-2009 Through 02-04-2009",
}