Skip to main content
Springer Nature Link
Log in

Research for Reducing Dimension on a T-S Fuzzy Controller

  • Conference paper
Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques (ICIC 2007)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2))

Included in the following conference series:

  • 1357 Accesses

Abstract

To treat the difficulties in the design of MIMO fuzzy controller, which arise as high dimensional rule-bases and the acquirement of the membership functions and rules. Based on the importance of each input is different, a multi-dimensional controller is decomposed into a lot of one-dimensional controller that is presented in this paper. The total number of rules is drastically decreased. For an inverted pendulum, The simulation results show the controller has better dynamic performance and stability than the conventional MIMO fuzzy controller.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

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.

Similar content being viewed by others

References

  1. Hu, B.G., Hao, Y.: Review of Fuzzy PID Control Techniques and Some Important Issues [J]. Acta Automation Sinica 27(4), 567–594 (2001)

    Google Scholar 

  2. Kandadai, R.M., Tien, J.M.: On a Fuzzy Neural Hierarchical Controller with a Self-generating Knowledge Base[A]. SMC 96 [C] 4, 2625–2630 (1996)

    Google Scholar 

  3. Kyung, K.H., Lee, B.H.: Fuzzy rule base derivation using neural network-based fuzzy logic controller by self-learning [A]. In: Proc. IECCN 93 [C], vol. 1, pp. 435–440 (1993)

    Google Scholar 

  4. Furuta, K., Yamakita, M., Kobayashi, S.: Swing up control of inverted pendulum[A]. In: Proc. IECON 91[C], pp. 2193–2198 (1991)

    Google Scholar 

  5. Mori, S., Nishihara, H., Furuta, K.: Control of unstable mechanical system control of pendulum[J]. Internat J. Control 23(5), 630–692 (1976)

    Google Scholar 

  6. Wei, Q., Dayawans, W.P., S, W.: Living, Nonlinear controller for an inverted pendulum having restricted travel [J]. Automation 31(6), 841–850 (1995)

    Article  MATH  Google Scholar 

  7. Wang, H., Song, Z., Ping, L.: The Design of a Novel Hierarchical Multivariable Fuzzy Controller[J]. Control Theory and Application 18(5), 657–660 (2001)

    MATH  Google Scholar 

  8. Raiug Hierarchical fuzzy control[J].Int. J. Control 54(5), 1201–1216 (1991)

    Google Scholar 

  9. Zhang, N.: Two-loop Fuzzy Control of Inverted Pendulum. Control and Decision 11(1), 85–88 (1996)

    MATH  Google Scholar 

  10. Yi, J., Naoyoshi, Y., Kaoru, H.: Upswing and stabilization control of inverted pendulum system based on the SIRMs dynamically connected fuzzy inference model[J]. Fuzzy Sets and Systems 122, 139–152 (2001)

    Article  MATH  Google Scholar 

  11. Takagi, T., Sugeno, M.: Fuzzy Identification of Systems and Its Applications to Modeling and Control. IEEE Trans. Syst., Man and Cybern. 15(1), 116–132 (1985)

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Inner Mongolia University of Science and Technology, BaoTou 014010, China

    Li-li Gao

  2. dept. of automation, Inner Mongolia University, huhhot 010021, China

    Xin-min Shi

Authors
  1. Li-li Gao
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xin-min Shi
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

De-Shuang Huang Laurent Heutte Marco Loog

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Gao, Ll., Shi, Xm. (2007). Research for Reducing Dimension on a T-S Fuzzy Controller. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques. ICIC 2007. Communications in Computer and Information Science, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74282-1_37

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-74282-1_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74281-4

  • Online ISBN: 978-3-540-74282-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics