Abstract
Neural network - model-based predictive control (NN-MBPC) has not been widely used in industrial biotechnology in comparison with other MBPC industrial applications. This is mainly because accurate models are usually not available for nonlinear biotechnological processes. NN allow obtaining a high accuracy in the modelling. The presented controller design show approaches to deal with the lack of the theory of non-linear systems in case one needs to identify a NN presenting MBPC structure. The described approaches based on linear and non-linear optimisation are demonstrated on the temperature controller design in a batch bioreactor. The simulations are obtained by implementing MATLAB 4.2 with Simulink.
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