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    “Adaptive Control Technique Using Multilayer Feedforward Neural Networks”

    (2005) “Adaptive Control Technique Using Multilayer Feedforward Neural Networks”. The Mediterranean Journal of Measurement and Control. pp. 74-80.

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    Abstract

    This paper presents a new method for implementing adaptive controllers using multilayer feedforward neural networks (MFNN). The controlled process is approximated at each sampling time by a linear time-invariant (LTI) model. The proposed adaptive controller is a combination of a parameter estimation algorithm to estimate the parameters of the process and an adaptation algorithm for the connection weights of the neural network. An adaptation algorithm to adjust the connection weights of the neural network has been derived. Simulation results are included to demonstrate the feasibility and the adaptive properties of the proposed controller.

    Item Type: Article
    Subjects: Electrical
    Department: College of Engineering and Physics > Electrical Engineering
    Depositing User: AYHAM ZAZA
    Date Deposited: 24 Mar 2008 13:35
    Last Modified: 01 Nov 2019 13:24
    URI: http://eprints.kfupm.edu.sa/id/eprint/700