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Fuzzy Semigroups

  • John N. Mordeson
  • Davender S. Malik
  • Nobuaki Kuroki

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 131)

Table of contents

  1. Front Matter
    Pages i-ix
  2. John N. Mordeson, Davender S. Malik, Nobuaki Kuroki
    Pages 1-37
  3. John N. Mordeson, Davender S. Malik, Nobuaki Kuroki
    Pages 39-58
  4. John N. Mordeson, Davender S. Malik, Nobuaki Kuroki
    Pages 59-100
  5. John N. Mordeson, Davender S. Malik, Nobuaki Kuroki
    Pages 101-129
  6. John N. Mordeson, Davender S. Malik, Nobuaki Kuroki
    Pages 131-168
  7. John N. Mordeson, Davender S. Malik, Nobuaki Kuroki
    Pages 169-181
  8. John N. Mordeson, Davender S. Malik, Nobuaki Kuroki
    Pages 183-218
  9. John N. Mordeson, Davender S. Malik, Nobuaki Kuroki
    Pages 219-264
  10. John N. Mordeson, Davender S. Malik, Nobuaki Kuroki
    Pages 265-289
  11. John N. Mordeson, Davender S. Malik, Nobuaki Kuroki
    Pages 291-301
  12. Back Matter
    Pages 303-319

About this book

Introduction

In this book, modeling and control design of electric motors, namely step motors, brushless DC motors, and induction motors, are considered. The book focuses on recent advances on feedback control designs for various types of electric motors, with a slight emphasis on stepper motors. For this purpose, the authors explore modeling of these devices to the extent needed to provide a high-performance controller but at the same time amenable to model-based nonlinear designs. The control designs focus particularly on recent robust adaptive nonlinear controllers to attain high performance. It is shown that the adaptive robust nonlinear controller on its own achieves a reasonably good performance without requiring the exact knowledge of motor parameters. While carefully tuned classical controllers do often achieve required performance in many applications, it is hoped that the advocated robust and adaptive designs will lead to standard universal controllers with minimal need for fine tuning of control parameters.

Keywords

Fuzzy Fuzzy Coding Theory Fuzzy Finite State Machines Fuzzy Languages Fuzzy semigroups Transformation algorithm algorithms automata construction

Authors and affiliations

  • John N. Mordeson
    • 1
  • Davender S. Malik
    • 1
  • Nobuaki Kuroki
    • 2
  1. 1.Dept. of Mathematics and Computer ScienceCreighton UniversityOmahaUSA
  2. 2.Dept. of MathematicsJoetsu University of EducationJoetsu-shiJapan

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-37125-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 2003
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-05706-9
  • Online ISBN 978-3-540-37125-0
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site