This paper presents various software based approaches suitable for the design of knowledge-based monitoring of biotechnological production processes. These processes require special treatment with respect to the complexity in biochemical reactions which make the design and construction of reasonably complex and practically usable mathematical models rather difficult. Additional complexity arises from the lack of industrially viable sensors for on-line measurement of key process variables. This approach is shown in practice using two different case studies of knowledge-based software sensors.
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