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Neuro-Control Applications

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Neuro-Control and its Applications

Part of the book series: Advances in Industrial Control ((AIC))

Abstract

In this chapter we discuss several neuro-control techniques with applications to real physical processes; a water bath temperature control system, an inverted pendulum, an electric vehicle generator control system, and a multi-input multi-output furnace. For the water bath and furnace temperature control systems, the emulator and controller neuro-control scheme is applied. However, as these real processes are slow in nature, offline learning methods are used to train the neural networks at first and then on-line learning is applied using the architecture of Fig. 4.2.5 for fine-tuning their performances. In these applications comparison is made with several traditional control methods under varying complexities in the processes. As neuro-control is relatively new it is important to see how well it compares to the more established traditional control approaches.

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Author information

Authors and Affiliations

  1. Department of Computer and Systems Sciences, College of Engineering, Osaka Prefecture University, Sakai, Osaka 593, Japan

    Sigeru Omatu PhD (Professor)

  2. Business and Advanced Technology Centre, Universiti Teknologi Malaysia, Jalan Semarak, 54100, Kuala Lumpur, Malaysia

    Marzuki Khalid PhD (Associate Professor) & Rubiyah Yusof PhD (Lecturer)

Authors
  1. Sigeru Omatu PhD
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  2. Marzuki Khalid PhD
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  3. Rubiyah Yusof PhD
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© 1996 Springer-Verlag London Limited

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Omatu, S., Khalid, M., Yusof, R. (1996). Neuro-Control Applications. In: Neuro-Control and its Applications. Advances in Industrial Control. Springer, London. https://doi.org/10.1007/978-1-4471-3058-1_5

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  • DOI: https://doi.org/10.1007/978-1-4471-3058-1_5

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-3060-4

  • Online ISBN: 978-1-4471-3058-1

  • eBook Packages: Springer Book Archive

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