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Generalization of Superiority of Fuzzy Controllers over Mathematical Modeling of EEG Signals

P. N. Kamble, S. C. Mehrotra, M. B. Dhakne


In the present paper, a precise fuzzy control model has proposed and developed to predict the responses of output (O/P) result “membrane current ( I_memb)” of EEG signals model with respect to distinct values (sensor readings) of the inputs (I/Ps) linguistic variables “Intensity (I) and delay(τ)". The sensitivity responses of the model are carried out utilizing the most popular model of Mamdani fuzzy inference rules over classical EEG signal mathematical model. The analyses of the results carried out indicate that the controls performed with FLC provide more comfortable, reliable and consistent controls and that they are feasible in operating EEG signal model. The output is found to be reasonably good sensitive to the Inputs.


Mathematical model of EEG signals, I/Ps-O/P variables, Mamdani fuzzy controller rules, COG defuzzification formula.

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