Tunning gain table to match two-curves

问题:

I have two data set, let us name them "actual speed" and "desired speed". My main objective is to match actual speed with the desired speed.

But for doing that in my case, I need to tune FF(1x10), Integral(10x8) and Proportional gain table(10x8).

My approach till now was as follows:-

1. First, start the iteration with having 0.1 as the initial value in the first cells(FF[0]) of the FF table
2. Then find the R-square or Co-relation between two dataset( i.e. Actual Speed and Desired Speed)
3. Increment the value of first cell(FF[0]) by 0.25 and then again compute R-square or Co-relation of two data set.
4. Once the cell(FF[0]) value reaches 2(Gains Maximum value. Already defined by the lab). Evaluate R-square and re-write the gain value in FF[0] which gives min. error between the two curve.
5. Then tune the Integral and Proportional table in the same way for the same RPM Range
6. Once It is tune then go for higher RPM range and repeat step 2-5 (RPM Range: 800-1000; 1000-1200;....;3000-3200)

Now the problem is that this process is taking way too long time to complete. For example it takes around 1 Hr. time to tune one cell of FF. Which is actually very slow.

If possible, Please suggest any other approach which I can try to tune the tables. I am using MATLAB R2010a and I can't shift to any other version of MATLAB because my controller can communicate with this version only and I can't use any app for tuning since my GUI is already communicating with the controller and those two datasets are being made in real-time

In the given figure, lets us take (X1,Y1) curve as Desired speed and (X2,Y2) curve as Actual speed

UPDATE