Fueled by advances in computer technology, model-based approaches to the control of industrial processes are now widespread. While there is an enormous literature on modeling, the difficult first step of selecting an appropriate model structure has received almost no attention. This book fills the gap, providing practical insight into model selection for chemical processes and emphasizing structures suitable for control system design.
1. Motivations and perspectives ; 2. Linear dynamic models ; 3. Four views of nonlinearity ; 4. NARMAX models ; 5. Volterra models ; 6. Linear multi-models ; 7. Relations between model classes ; 8. The art of model development
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