Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
