Neural model predictive control of nonlinear chemical processes

There are two different neural network dynamic modeling approaches. A comparison of the two modeling approaches in terms of their model predictive control (MPC) performance is given. Two chemical processes, a polymer reactor and a distillation column, are studied.<
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