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.