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

Xu, Ling and Ding, Feng and Yang, Erfu (2020) Separable recursive gradient algorithm for dynamical systems based on the impulse response signals. International Journal of Control, Automation and Systems, 18 (12). pp. 3167-3177. ISSN 1598-6446

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    Abstract

    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.

    ORCID iDs

    Xu, Ling, Ding, Feng and Yang, Erfu ORCID logoORCID: https://orcid.org/0000-0003-1813-5950;
    • Item type:Article
      ID code:73516
      Dates:
      Date
      Event
      31 December 2020
      Published
      24 June 2020
      Published Online
      7 March 2020
      Accepted
      Notes:This is a post-peer-review, pre-copyedit version of an article published in International Journal of Control, Automation and Systems. The final version is available online at: https://doi.org/10.1007/s12555-019-0940-5
      Keywords:parameter estimation, system response, gradient search, impulse signal, recursive algorithm, Technology, Industrial and Manufacturing Engineering
      Subjects:Technology
      Department:Faculty of Engineering > Design, Manufacture and Engineering Management
      Depositing user: Pure Administrator
      Date deposited:10 Aug 2020 13:40
      Last modified:16 Jul 2021 02:30
      URI:https://strathprints.strath.ac.uk/id/eprint/73516
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