Fuzzy optimal control.

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dc.contributor.authorUmar Iqbal Bhatti
dc.date1997
dc.date.accessioned2022-05-18T05:02:09Z
dc.date.available2022-05-18T05:02:09Z
dc.degree.departmentCollege of Computer Science and Engineering
dc.degree.grantorKing Fahad for Petrolem University
dc.description.abstractIn 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 thypical servo and regulator problems.
dc.identifier.other5374
dc.identifier.urihttps://drepo.sdl.edu.sa/handle/20.500.14154/1629
dc.language.isoen
dc.publisherSaudi Digital Library
dc.thesis.levelMaster
dc.thesis.sourceKing Fahad for Petrolem University
dc.titleFuzzy optimal control.
dc.typeThesis

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