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    Parameter estimation of damped compound Pendulum using Bat Algorithm

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    Date
    2016
    Author
    Mohd Sazli, Saad
    Luqman Nul Hakim, Mat Deri
    Shayfull Zamree, Abd Rahim
    Mohd Nasir, Mat Saad
    Mohd Fathullah, Ghazli @ Ghazali
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    Abstract
    In this study, the parameter identification of the damped compound pendulum system is proposed using one of the most promising nature inspired algorithms which is Bat Algorithm (BA). The procedure used to achieve the parameter identification of the experimental system consists of input-output data collection, ARX model order selection and parameter estimation using bat algorithm (BA) method. PRBS signal is used as an input signal to regulate the motor speed. Whereas, the output signal is taken from position sensor. Both, input and output data is used to estimate the parameter of the autoregressive with exogenous input (ARX) model. The performance of the model is validated using mean squares error (MSE) between the actual and predicted output responses of the models. Finally, comparative study is conducted between BA and the conventional estimation method (i.e. Least Square). Based on the results obtained, MSE produce from Bat Algorithm (BA) is outperformed the Least Square (LS) method.
    URI
    http://dspace.unimap.edu.my:80/xmlui/handle/123456789/68480
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    • Mohd Fathullah Ghazli@ Ghazali, Associate Professor Ir. Dr. [21]
    • Mohd Nasir Mat Saad, Ir. [9]
    • Mohd Sazli Saad, Dr. [13]

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