EE658A FUZZY PROJECT

Generating Fuzzy Rules by Learning from Examples - Wang & Mendel

Truck Backer-Upper Control Problem

For truck backer-upper control, run

1. truckBackerUpper_all.m for example 1 - with complete numerical data (no linguistic rules)
2. truckBackerUpper_truncated.m for example 2 - with truncated data pairs (first 3 pairs from each sequence)
3. truckBackerUpper_truncated_linguistic.m for example 2 - with truncated data pairs and added linguistic rules

Mackey-Glass Chaotic Time Series Prediction Problem

For Mackey-Glass time series prediction, run

1. mackeyGlass_700.m for example 1 - training using 700 data points of x(t)
2. mackeyGlass_200.m for example 2 - training using 200 data points of x(t)

For generating Mackey-Glass chaotic time series, I used the files mackeyglass.m, mackeyglass_eq.m and mackeyglass_rk4.m from the following source https://www.mathworks.com/matlabcentral/fileexchange/24390-mackey-glass-time-series-generator

Project directory structure

│   EE658A_Project_Presentation_pdf.pdf
│   EE658A_Project_Presentation_ppt.pptx
│   EE658A_Project_Report.pdf
│   README.md
│
├───MackeyGlassChaoticTimeSeries
│       mackeyglass.m
│       mackeyGlass_200.m
│       mackeyGlass_700.m
│       mackeyglass_eq.m
│       mackeyglass_rk4.m
│       mgchaotic.dat
│       timeseriesregions.m
│
└───TruckBackerUpper
    │   truckBackerUpper_all.m
    │   truckBackerUpper_truncated.m
    │   truckBackerUpper_truncated_linguistic.m
    │
    └───data
            table1.csv
            table10.csv
            table11.csv
            table12.csv
            table13.csv
            table14.csv
            table2.csv
            table3.csv
            table4.csv
            table5.csv
            table6.csv
            table7.csv
            table8.csv
            table9.csv