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Hence, although neural damage cannot be replaced by cellular proliferation, partial compensation might be provided by adaptive mechanisms, including variations in neural schemes through the unmasking of hidden neural pathways and synapses which, although not normally used, might emerge when the dominant system fails.
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To address non-linearity, strong coupling and multi-variables existing in general electric-drive system, a simulating system of intelligent control of electric-drives has been designed, in which PID control, Fuzzy control, and neural control schemes are integrated.
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Two neural network schemes, namely multilayered perceptron (MLP) neural network and a probabilistic neural network (PNN), are employed.
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