Online Parameters Identification of Low-Frequency Oscillation by Neural Computation

摘要：

In this paper, we introduce a novel information criterion (NIC) algorithm for online parameter identification of low-frequency oscillation by neural computation. This algorithm can get oscillation frequency, attenuation, amplitude and phase of the system from the data being measured and solve the problem that the rank of the signal covariance matrix is often unknown. Simulation results demonstrate that this algorithm has high resolving power and is time saving.

关键词： law-frequency oscillation prony algorithm rank NIC algorithm neural computation

作者: Li Chengcheng Wang Fangzong

作者单位: The College of Electrical Engineering and Information Technology China Three Gorges University Yichang 443002,China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 352-356

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）