Fuzzy optimal control

by U. I. Bhatti

Type Thesis
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In this thesis a systematic scheme is proposed to design fuzzy optimal controllers. The proposed scheme adjusts the parameters of the fuzzy controller using a gradient descent scheme in order to optimize a chosen performance criterion. The optimization is carried out employing a gradient descent method. The gradient computation is performed using the BPD (Block Partial Derivative) technique. Simulation studies are reported for typical servo and regulator problems.

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Summary

In this thesis a systematic scheme is proposed to design fuzzy optimal controllers. The proposed scheme adjusts the parameters of the fuzzy controller using a gradient descent scheme in order to optimize a chosen performance criterion. The optimization is carried out employing a gradient descent method. The gradient computation is performed using the BPD (Block Partial Derivative) technique. Simulation studies are reported for typical servo and regulator problems.

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Edition Statements

  • Publication Date:1997

Thesis Information

  • Degree:M.S.
  • University:King Fahd University of Petroleum and Minerals (Saudi Arabia)
  • Pages:124

Publication Statements

  • Language:eng
  • Publication Date:1997

Edition Identifiers

  • proquest:304431835

Subjects

Applied Sciences artificial intelligence eng PDF systems design

Writers

U. I. Bhatti

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