摘要
针对非线性系统模型的多样性,提出了适用于多种非线性模型的基于粒子群优化算法的参数估计方法。计算结果表明,粒子群优化算法是非线性系统模型参数估计的有效工具。
Aiming at the diversity of nonlinear system model, it is proposed in this article a parameter estimation method based on particle group optimization algorithm that is applicable to a variety of nonlinear models. The result shows that the particle group optimization algorithm for parameter estimation of nonlinear system model is an effective tool.
出处
《计算机时代》
2012年第4期34-36,共3页
Computer Era
关键词
粒子群优化算法
非线性系统
参数估计
优化
particle group optimization algorithm
nonlinear system
parameter estimation
optimization
