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A numerical optimization approach for tuning fuzzy logic controllers.

Publication ,  Journal Article
Woodward, SE; Garg, DP
Published in: IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society
January 1999
Published version (DOI)

This paper develops a method to tune fuzzy controllers using numerical optimization. The main attribute of this approach is that it allows fuzzy logic controllers to be tuned to achieve global performance requirements. Furthermore, this approach allows design constraints to be implemented during the tuning process. The method tunes the controller by parameterizing the membership functions for error, change-in-error, and control output. The resulting parameters form a design vector which is iteratively changed to minimize an objective function. The minimal objective function results in an optimal performance of the system. A spacecraft mounted science payload line-of-sight pointing control is used to demonstrate results.

Duke Scholars

Devendra P. Garg
Author Devendra P. Garg Thomas Lord Department of Mechanical Engineering and Materia ...

Published In

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society

DOI

10.1109/3477.775276

EISSN

1941-0492

ISSN

1083-4419

Publication Date

January 1999

Volume

29

Issue

4

Start / End Page

565 / 569

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 4611 Machine learning
  • 4603 Computer vision and multimedia computation
  • 4602 Artificial intelligence
  • 0906 Electrical and Electronic Engineering
  • 0801 Artificial Intelligence and Image Processing
  • 0102 Applied Mathematics
 

Citation

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ICMJE
MLA
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Woodward, S. E., & Garg, D. P. (1999). A numerical optimization approach for tuning fuzzy logic controllers. IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : A Publication of the IEEE Systems, Man, and Cybernetics Society, 29(4), 565–569. https://doi.org/10.1109/3477.775276
Woodward, S. E., and D. P. Garg. “A numerical optimization approach for tuning fuzzy logic controllers.” IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : A Publication of the IEEE Systems, Man, and Cybernetics Society 29, no. 4 (January 1999): 565–69. https://doi.org/10.1109/3477.775276.
Woodward SE, Garg DP. A numerical optimization approach for tuning fuzzy logic controllers. IEEE transactions on systems, man, and cybernetics Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society. 1999 Jan;29(4):565–9.
Woodward, S. E., and D. P. Garg. “A numerical optimization approach for tuning fuzzy logic controllers.” IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : A Publication of the IEEE Systems, Man, and Cybernetics Society, vol. 29, no. 4, Jan. 1999, pp. 565–69. Epmc, doi:10.1109/3477.775276.
Woodward SE, Garg DP. A numerical optimization approach for tuning fuzzy logic controllers. IEEE transactions on systems, man, and cybernetics Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society. 1999 Jan;29(4):565–569.

Published In

IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society

DOI

10.1109/3477.775276

EISSN

1941-0492

ISSN

1083-4419

Publication Date

January 1999

Volume

29

Issue

4

Start / End Page

565 / 569

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 4611 Machine learning
  • 4603 Computer vision and multimedia computation
  • 4602 Artificial intelligence
  • 0906 Electrical and Electronic Engineering
  • 0801 Artificial Intelligence and Image Processing
  • 0102 Applied Mathematics