Separable recursive gradient algorithm for dynamical systems based on the impulse response signals

Ling Xu, Feng Ding, Erfu Yang

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)
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The identification for process control systems is considered in this paper based on the impulse response signals from the discrete measurements. By taking advantage of impulse signals and through the model parameter decomposition, two dependent identification models are constructed and two identification sub-algorithms are presented based on the nonlinear gradient optimization. In terms of the associated items of the parameters to be estimated between two derived sub-algorithms, a separable recursive gradient parameter estimation method is proposed by designing an interactive and recursive estimation. The performance tests and the comparison experiments are carried out by the simulation examples.
Original languageEnglish
Pages (from-to)3167-3177
Number of pages11
JournalInternational Journal of Control, Automation and Systems
Issue number12
Early online date24 Jun 2020
Publication statusPublished - 31 Dec 2020


  • parameter estimation
  • system response
  • gradient search
  • impulse signal
  • recursive algorithm

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