A comprehensive, contributed work concerned with bioprocess automation and control. Commences with generation and analysis of control structure, emphasizing biosensors with a penetrating look at available devices. Profiles underlying soft sensor estimation techniques as well as those for use in derived information. Illustrated applications treat either low level control loops or high level control strategies. Introduces new trends in process automation such as expert systems and neural networks, discussing their future in biotechnology.
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