Focuses on the identification and treatment of data anomalies, including examples that highlight different types of anomalies, their potential consequences if left undetected and untreated, and options for dealing with them.
Fuelled by advances in computer technology, model-based approaches to the control of industrial processes are now widespread. This text provides practical insight into model selection for chemical processes and emphasizes structures suitable for control system design.
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