摘要
讨论了集群辨识的概念和特点。针对多输入单输出Wiener—Hammerstein模型提出了一种集群辨识方法。方法的基本思想是将模型辨识问题转化为参数空间上非线性函数的最优化问题,然后采用集群智能方法对整个参数空间进行高效并行搜索以获得模型参数的最优估计。仿真结果显示了本方法的有效性。
The concept and characteristics of swarm identification are discussed. A swarm identification method for MISO Wiener-Hammerstein model is proposed. The basic idea of the method is that the model identification problem is converted into optimization of nonlinear function over parameter space, and then the swarm intelligence method is used to search the parameter space concurrently and efficiently in order to find the optimal estimation of the model parameters. Simulation results reveal the effectiveness of the suggested method.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
2005年第1期114-118,共5页
Pattern Recognition and Artificial Intelligence
基金
国家自然科学基金(No.60474007)
