Direct and indirect model based control using artificial neural networks

Abstract

The use of artificial neural networks in model based control, both as process models and as controllers, is investigated: two nonlinear model based control strategies, internal model control (IMC) and multistep predictive control (MPC), are applied to the control of a nonlinear SISO exothermic continuous stirred tank reactor (CSTR)