The application of feedback linearization technique using artificial neural
networks (ANN's) for a nonlinear industrial process plant is considered in
this paper, The process plant is modeled first using an ANN, and then the
dynamic neural network model acting as a process plant emulator is feedback
linearized. A novel configuration for linearization of an ANN emulator usi
ng only backpropagation is used. Effective control of the linearized emulat
or is then exhibited using a linear controller. Experimentation and simulat
ion results on the linearized emulator are presented to demonstrate the eff
ectiveness of the feedback linearization technique.