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System identification using clustering algorithm for nonlinear control - Fuzzy systems control course project - Petroleum University of Technology

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Fuzzy Clustering Algorithem

Design of Fuzzy System Using Nearest Neighborhood Clustering Method for Adaptive Control of Nonlinear Systems.

  • Designing a nonlinear system identifier.
  • Development in online and offline approaches.
  • Algorithm implementation in MATLAB.

This program was developed as a course project for the Fuzzy systems course by Habibollah Naeimi.

TheF.m

Calculates the F parameter in offline clustring mode.

OnlineF.m

Calculates the F parameter in online clustring mode.

Clustring.m

Main program.

Clustring Report.pdf

Report and further details.

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System identification using clustering algorithm for nonlinear control - Fuzzy systems control course project - Petroleum University of Technology

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