基于人工蜂群算法的有理模型参数估计

Proceedings of 2011 International Conference on Modelling, Identification and Control Pub Date : 2011-06-26 DOI:10.1109/ICMIC.2011.5973704

Defeng Wu, Wan-Neng Yu, Zibin Yin

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引用次数: 7

摘要

人工蜂群算法是一种基于蜂群特定智能行为的简单、鲁棒、基于种群的随机优化算法。非线性理性模型是目前最流行的一种带外源输入的非线性自回归移动平均子模型集。本文提出了一种基于人工蜂群算法的非线性有理模型参数估计方法。仿真实验初步验证了ABCE算法的有效性。

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Parameter estimation of rational models based on artificial bee colony algorithm

Artificial bee colony (ABC) algorithm is a simple, robust and population based stochastic optimization algorithm based on a particular intelligent behavior of honeybee swarms. Non-linear rational model has been one of the most popular non-linear autoregressive moving average with exogenous input (NARMAX) sub-model sets. In this study, an approach based on artificial bee colony algorithm for estimating the parameters of non-linear rational models is presented. The effectiveness of the ABCE algorithm is initially demonstrated by some simulation experiments.

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Proceedings of 2011 International Conference on Modelling, Identification and Control

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