Abstract
The article presents a control scheme, based on use of neural networks, which can be applied to a control of complex nonlinear systems. The emphasis is on producing methodology and appropriate software which could later be used to construct control systems in a standard way. As usual when neural networks are used many experiments are required before desired results are reached. Therefore, a NeuroControl Workbench has been constructed which allows one to construct numerous experiments with a minimum of effort This article presents some results of control experiments with a bioreactor simulation.
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