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A PID neural network is proposed to solve the decoupling problem of multi-cylinder forging machine. Based on analyzing forging machine's model the PID neural network is determined as 10-15-5 structure. 10 input- neurons connect the given value and the measure value of left front cylinder, left posterior cylinder, right front cylinder, right posterior cylinder and main cylinder.15 neurons of hidden...
This paper presents the use of neural network control approaches for a two inputs -two outputs (TITO) coupled tank liquid levels with disturbances effects and set-point changes in dynamic system. Hybrid PI-neural network (hybrid PI-NN) and PID neural network (PID-NN) controllers are the techniques used in this investigation to actively control the liquid levels of coupled tank system. Unlike traditional...
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