by John Hoffman and Anzhi Chen Advisor: Dr. I. S. Ahn The objective of the project is to use a neural network to select values
for KI, KP, KD in a real time PID controller. New values of KI, KP and
KD will be chosen by using the quantized error and by taking into account
how it affects the output. The final product will use an EVMC30 microcontroller
to control the plant. The controller will contain the neural network and
the PID controller written in C-code. The plant is a simulated 2nd order
system using operational amplifiers.
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