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Model-Free Control of a Nonlinear ANC System with a SPSA-Based Neural Network Controller

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Advances in Neural Networks - ISNN 2006 (ISNN 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3972))

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Abstract

In this paper, a feedforward active noise control (ANC) system using a mode-free neural network (MFNN) controller based on simultaneous perturbation stochastic approximation (SPSA) algorithm is considered. The SPSA-based MFNN control algorithm employed in the ANC system is first derived. Following this, computer simulations are carried out to verify that the SPSA-based MFNN control algorithm is effective for a nonlinear ANC system. Simulation results show that the proposed scheme is able to significantly reduce disturbances without the need to model the secondary-path and has better tracking ability under variable secondary-path. This observation implies that the SPSA-based MFNN controller frees the ANC system from the modeling of the secondary-path.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Automation, Beijing Institute of Machinery, P.O. Box 2865, Beijing, 100085, China

    Yali Zhou & Qizhi Zhang

  2. Institute of Acoustics, Academia Sinica, China

    Xiaodong Li

  3. School of EEE, Nanyang Technological University, Singapore

    Woonseng Gan

Authors
  1. Yali Zhou
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  2. Qizhi Zhang
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  3. Xiaodong Li
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  4. Woonseng Gan
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Editor information

Editors and Affiliations

  1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  2. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China

    Zhang Yi

  3. Department of Electrical Engineering, University of Louisville, 40292, Louisville, KY, U.S.A

    Jacek M. Zurada

  4. Laboratory for Computational Biology, Shanghai Center for Systems Biomedicine, 800 Dong Chuan Rd., 200240, Shanghai, China

    Bao-Liang Lu

  5. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

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© 2006 Springer-Verlag Berlin Heidelberg

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Zhou, Y., Zhang, Q., Li, X., Gan, W. (2006). Model-Free Control of a Nonlinear ANC System with a SPSA-Based Neural Network Controller. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3972. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760023_152

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  • DOI: https://doi.org/10.1007/11760023_152

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34437-7

  • Online ISBN: 978-3-540-34438-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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