@inproceedings{167dc35c36004f8aa30f97f7efceba2c,
title = "Parametric identification of bouc-wen hysteresis model for piezoelectric ceramic actuator based on immune particle swarm optimization algorithm",
abstract = "This paper is concerned with the parametric identification based on immune particle swarm optimization (IPSO) algorithm for Bouc-Wen model of piezoelectric ceramic actuators (PCA). IPSO algorithm is an algorithm that introduces the immunological memory and selection mechanism of concentration of antibody of immune system to PSO algorithm. It is used to identify unknown parameters of Bouc-Wen model, one of the most widely used parametric models of hysteresis in mechanics. The experimental results reveal that IPSO algorithm has better precision and convergence.",
keywords = "Bouc-wen, Identification, Immune particle swarm optimization, Piezoelectric ceramic actuator",
author = "Ning Dong and Li, {Hong Juan} and Liu, {Xiang Dong} and Cai, {Chun Xia}",
year = "2013",
doi = "10.4028/www.scientific.net/KEM.562-565.509",
language = "English",
isbn = "9783037857397",
series = "Key Engineering Materials",
publisher = "Trans Tech Publications Ltd.",
pages = "509--515",
booktitle = "Micro-Nano Technology XIV",
address = "Switzerland",
note = "14th Annual Conference and the 3rd International Conference of the Chinese Society of Micro-Nano Technology, CSMNT 2012 ; Conference date: 04-11-2012 Through 07-11-2012",
}