PID autotuning using neural networks and model reference adaptive control

K. Pirabakaran, Victor Manuel Becerra

    Research output: Chapter in Book/Report/Conference proceedingConference contribution


    This paper describes the application of artificial neural networks for automatic tuning of PID controllers using the Model Reference Adaptive Control approach. The effectiveness of the proposed method is shown through a simulated application.
    Original languageUndefined/Unknown
    Title of host publication15th Triennial World Congress of the International Federation of Automatic Control (IFAC)
    Publication statusPublished - 2002


    • autotuners, PID control, model reference adaptive control, neural networks, back-propagation

    Cite this