Skip to main content

Part of the book series: Symbolic Computation ((1064))

  • 56 Accesses

Abstract

In this chapter we review previous results in the effort to incorporate approximate reasoning into the control of physical processes. In particular, we wish to review the research in fuzzy logic control and show how the research presented here is a logical extension of that work. Fuzzy control is an outgrowth of classical control theory, so we start with a brief review of classical control.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 1989 Springer-Verlag New York Inc.

About this chapter

Cite this chapter

D’Ambrosio, B. (1989). Fuzzy Logic Control. In: Qualitative Process Theory Using Linguistic Variables. Symbolic Computation. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-9671-0_2

Download citation

  • DOI: https://doi.org/10.1007/978-1-4613-9671-0_2

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4613-9673-4

  • Online ISBN: 978-1-4613-9671-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics