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Adaptive Wavelets Based Fuzzy NN Control for Active Suspension Model

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Emerging Trends and Applications in Information Communication Technologies (IMTIC 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 281))

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Abstract

The objective of this paper is to examine the performance of full car active suspension system by using adaptive wavelet fuzzy-neural network (WFNN) control strategy. The conventional passive suspension system does not provide the passenger comfort and vehicle handling against the road disturbances. In order to improve the passenger’s comfort and vehicle’s handling an adaptive WFNN is used for full car suspension. WFNN consists of fuzzy linguistic rules. WFNN has more accurate and generalized approximations for non-linear functions. The performance of WFNN is examined as compared to semi-active and passive suspension systems. Simulation is based on the full car mathematical model by using MATLAB/SIMULINK.

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Author information

Authors and Affiliations

  1. COMSATS Institute of Information Technology, Abbottabad Campus, Pakistan

    Laiq Khan, Shahid Qamar & Muhammad Umair Khan

Authors
  1. Laiq Khan
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  2. Shahid Qamar
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  3. Muhammad Umair Khan
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Editor information

Editors and Affiliations

  1. Department of Electronics and Telecommunication Engineering, Faculty of Electrical, Electronics & Computer Engineering, Mehran UET, Jamshoro, Pakistan

    Bhawani Shankar Chowdhry

  2. Department of Telecommunication Engineering, Mehran University of Engineering and Technology, 76062, Jamshoro, Sindh, Pakistan

    Faisal Karim Shaikh

  3. Department of Software Engineering & Media Technology, Aalborg University, Niels Bohrs Vej 8, 6700, Esbjerg, Denmark

    Dil Muhammad Akbar Hussain

  4. Department of Electrical Engineering, Mehran University of Engineering and Technology, 76062, Jamshoro, Sindh, Pakistan

    Muhammad Aslam Uqaili

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© 2012 Springer-Verlag Berlin Heidelberg

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Khan, L., Qamar, S., Khan, M.U. (2012). Adaptive Wavelets Based Fuzzy NN Control for Active Suspension Model. In: Chowdhry, B.S., Shaikh, F.K., Hussain, D.M.A., Uqaili, M.A. (eds) Emerging Trends and Applications in Information Communication Technologies. IMTIC 2012. Communications in Computer and Information Science, vol 281. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28962-0_25

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  • DOI: https://doi.org/10.1007/978-3-642-28962-0_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28961-3

  • Online ISBN: 978-3-642-28962-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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