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 (https://doi.org/10.1007/s12555-019-0940-5)

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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:25 May 2023 10:46
    URI:https://strathprints.strath.ac.uk/id/eprint/73516
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