Modeling of isothermal CSTR has been made using ANN

Modeling of isothermal CSTR has been made using ANN (Artificial Neural Networks).
The simulation results from conventional model and neural model were compared for the given input variations and the results have been found satisfactory.
Methods to design two neural networks based robust control schemes were also developed.
The simulations shows that implementation for the NN based advanced controllers for the set point tracking case were able to force process output variables to target their values
Problem identification and control of continuous stirred tank reactor has always been a challenging task for control systems engineer because of its strong nonlinear behavior