Performance oriented anti-windup for a class of neural network controlled systems

G Herrmann, MC Turner, I Postlethwaite

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    his paper presents a conditioning scheme for a
    linear control system which is enhanced by a neural network
    (NN) controller and subjected to a control signal amplitude
    limit. The neural network controller improves the performance
    of the linear ciintrol system by directly estimating an actuatormatched, un-modelled, nnn-linear disturbance, in closed-loop,
    and cnm ensating for it. As disturbances are generally known tu
    he bounled, the nominal NN-control element is modified to retain
    the known hound of the disturbance as its maximum amplitude.
    The linear control element is ronditianed hy an anti-windup (AW)
    compensator which ensures performance close
    Original languageEnglish
    Title of host publicationProceedings of the 2004 IEEE Conference on Cybernetics and Intelligent Systems Singapore, 1-3 December, 2004
    Pages751-756
    Number of pages6
    DOIs
    Publication statusPublished - 2004

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