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    Least Squares Identification with Application to Shape Control in a Sendzimir Cold Rolling Steel Mill


    Ringwood, John (1985) Least Squares Identification with Application to Shape Control in a Sendzimir Cold Rolling Steel Mill. In: American Control Conference 1985. IEEE, pp. 1359-1364.

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    Abstract

    A least squares technique for the on-line identification of the input/output characteristics of a Sendzimir rolling cluster is presented. Based on this technique, explicit and implicit self-tuning shape control schemes, using existing control algorithms, are derived. Two control structures, utilising different numbers of plant control inputs, are considered. While a simplistic approach to the problem is taken (resulting in easily implementable self-tuning schemes), the parameter estimates and subsequent control achieved are shown to be adequate for the application. A variety of simulation results are given.

    Item Type: Book Section
    Keywords: Least squares methods; Shape control; Steel; Milling machines; Strips; Hydraulic actuators; Processor scheduling; Automatic control; Finite impulse response filter; Design engineering;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Item ID: 9571
    Identification Number: https://doi.org/10.23919/ACC.1985.4788829
    Depositing User: Professor John Ringwood
    Date Deposited: 19 Jun 2018 15:56
    Publisher: IEEE
    Refereed: Yes
    URI:

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