Adaptive parameter identification of sinusoidal signals

Jing Na*, Juan Yang, Xing Wu, Yu Guo

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

2 Citations (Scopus)


A novel adaptive identification framework is proposed for sinusoidal signals to estimate all unknown parameters (i.e. offset, amplitude, frequency and phase). The proposed identification is independent of any observer/predictor design and thus can be implemented in a simplified manner. The adaptive laws are driven by appropriate parameter error information derived by applying filter operations on the output measurements. Globally exponential convergence of the parameter estimation is proved. The proposed idea is further extended for multi-sinusoid signals and verified in terms of simulations.

Original languageEnglish
Pages (from-to)624-629
Number of pages6
JournalIFAC Proceedings Volumes (IFAC-PapersOnline)
Issue numberPART 1
Publication statusPublished - 1 Jan 2013


  • Parameter estimation
  • Signal processing
  • Sinusoidal signal
  • System identification

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