STUDY OF SINGLE NEURON FILTERING TWO-DEGREE-OF-FREEDOM PID CONTROLLER
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Abstract
In this paper we propose a class of set-value filtering two-degrees-of-freedom PID controller which is realized by single neuron. Using neuron self-learning ability, We have solved the problem about regulating the parameters of two-degree-of-freedom PID controller. This controller possesses self-adaptive control ability. Physical tests show that the neuron-filtering two-degree-of-freedom PID controller possesses an applied value.
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