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International Multi Topic Conference

IMTIC 2008: Wireless Networks, Information Processing and Systems pp 156–168Cite as

Iterative Learning Fuzzy Gain Scheduler

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 20))

Abstract

Humans learn from experience and from repeating a task again and again. This paper uses this human capability to iteratively adjust fuzzy membership functions. These learnt membership functions are used to schedule the gain of a conventional proportional controller. The adjustment of the membership functions help achieve the design requirements of steady state error and percentage overshoot while the scheduling of the proportional gain gives us an adaptive controller. Simulation and experimental results demonstrate that this simple yet robust approach can be applied as an alternative to proportional-integral-derivative (PID) controllers, which are extensively used for various applications.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, National University of Science and Technology, Rawalpindi, Pakistan

    Suhail Ashraf

  2. Head of Department of Electrical Engineering, National University of Science and Technology, Rawalpindi, Pakistan

    Ejaz Muhammad

Authors
  1. Suhail Ashraf
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  2. Ejaz Muhammad
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Editor information

Editors and Affiliations

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

    D. M. Akbar Hussain

  2. Mehran University of Engineering & Technology, Jamshoro, Pakistan

    Abdul Qadeer Khan Rajput

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

    Bhawani Shankar Chowdhry

  4. Learning Societies Lab, Electronics and Computer Science, University of Southampton, United Kingdom

    Quintin Gee

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© 2008 Springer-Verlag Berlin Heidelberg

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Ashraf, S., Muhammad, E. (2008). Iterative Learning Fuzzy Gain Scheduler. In: Hussain, D.M.A., Rajput, A.Q.K., Chowdhry, B.S., Gee, Q. (eds) Wireless Networks, Information Processing and Systems. IMTIC 2008. Communications in Computer and Information Science, vol 20. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89853-5_18

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  • DOI: https://doi.org/10.1007/978-3-540-89853-5_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89852-8

  • Online ISBN: 978-3-540-89853-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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