Skip to main content
SpringerLink
Log in

Accessibility of Fuzzy Control Systems

  • Conference paper
Autonomous and Intelligent Systems (AIS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6752))

Included in the following conference series:

  • 2139 Accesses

Abstract

This paper presents a systematic methodology for delineating the accessibility of fuzzy logic control systems (FLCSs). Accessibility is an essential prior step for determining the controllability of plants in which the state trajectories are verified if they are accessible to a full dimension set. Thus, accessibility is an important metric in control design. We propose a methodical approach of examining the accessibility of FLCSs through linearization. Two examples are provided to demonstrate the utility of the developed methodology. The approach presented herein is an attempt to derive the conditions for assessing the accessibility of FLCSs systematically and facilitate the design of accessible FLCSs which is of great interest to researchers in the control community.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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.

References

  1. Feng, G.: A Survey on analysis and design of model-based fuzzy control systems. IEEE. Tran. Fuzzy. Syst. 14(5), 676–697 (2006)

    Article  Google Scholar 

  2. Biglarbegian, M., Melek, W.W., Mendel, J.M.: On the stability of interval type-2 TSK fuzzy logic control systems. IEEE Tran. Sys., Man, and Cyb.: Part B 4(3), 798–818 (2010)

    Article  Google Scholar 

  3. Sastry, S.: Nonlinear systems: analysis, stability, and control, 1st edn. Springer, Heidelberg (1999)

    Book  MATH  Google Scholar 

  4. Sontag, E.D.: Kalman’s controllability rank condition: from Lineaer to nonlinear. Math. Sys. Th.: The Influence of R. E. Kalman, 453–462 (1991)

    Google Scholar 

  5. Hsueh, Y.-C., Su, S.-F., Tao, C.W., Hsiao, C.-C.: Robust L2-gain compensative control for direct-adaptive fuzzy-control-system design. IEEE Tran. Fuzzy Sys. 18(4), 661–673 (2010)

    Article  Google Scholar 

  6. Chang, W.-J., Sun, C.-C.: Constrained fuzzy controller design of discrete Takagi-Sugeno fuzzy models. Fuzzy Sets and Sys. 133(1), 37–55 (2003)

    Google Scholar 

  7. Tanaka, K., Wang, H.O.: Fuzzy control systems designs and analysis, 1st edn. John Wiley & Sons, Chichester (2001)

    Book  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Computer Science Department, Ryerson University, Toronto, Canada

    Mohammad Biglarbegian & Alireza Sadeghian

  2. Mechanical & Mechatronics Engineering Department, University of Waterloo, Waterloo, Canada

    Mohammad Biglarbegian & William W. Melek

Authors
  1. Mohammad Biglarbegian
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Alireza Sadeghian
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. William W. Melek
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Waterloo, N2L 3G1, Waterloo, ON, Canada

    Mohamed Kamel  & Fakhri Karray  & 

  2. School of Information Technology and Engineering (SITE), University of Orrawa, 800 King Edward Avenue, K1N 6N5, Ottawa, ON, Canada

    Wail Gueaieb

  3. Faculty of Engineering and Material Science, Department of Mechatronics Engineering, German University in Egypt, Main Entrance El Tagamoa El Khames, New Cairo City, Egypt

    Alaa Khamis

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Biglarbegian, M., Sadeghian, A., Melek, W.W. (2011). Accessibility of Fuzzy Control Systems. In: Kamel, M., Karray, F., Gueaieb, W., Khamis, A. (eds) Autonomous and Intelligent Systems. AIS 2011. Lecture Notes in Computer Science(), vol 6752. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21538-4_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-21538-4_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21537-7

  • Online ISBN: 978-3-642-21538-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation