i am working on a simulink model and need to normalise the output values to -1 to 1 so that i can imply fuzzy controller easily. i am working in simulink environment.
Regards:
If your random output x is uniform in (0,1), then 2x-1 is uniformly random in (-1,1).
Hello, if you know the limits of the random variable you can simply make sure the maximum values maps to your desired range.
http://stackoverflow.com/questions/5731863/mapping-a-numeric-range-onto-another
If you don't know the limits you can try:
https://en.wikipedia.org/wiki/Sigmoid_function
If you don't know the limits of the random variable yoy may try some solutions like eg. Sigmoid function for normalization. However it is highly possible that the normalization may hide some important data.
To normalize any number R to the range [MinVal MaxVal], the normalized number N can be calculated with the following Eq:
N = MinVal + R * (MaxVal - MinVal)
if I understand your question well, you have to set the output membership function to [-1,1] then you can use a K factor to control the dynamic response.
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