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Can I read Process Modelling for Control: A Unified Framework Using Standard Black-box Techniques (Advances in Industrial Control) on EtoBox?

Process Modelling for Control: A Unified Framework Using Standard Black-box Techniques (Advances in Industrial Control) by Benoît Codrons is a nonfiction available to read on EtoBox.

What is Process Modelling for Control: A Unified Framework Using Standard Black-box Techniques (Advances in Industrial Control) about?

Many process control books focus on control design techniques, taking the construction of a process model for granted. Process Modelling for Control concentrates on the modelling steps underlying a successful design, answering questions like: How should I carry out the identification of my process in order to obtain a good model? How can I assess the quality of a model with a view to using it in control design? How can I ensure that a controller will stabilise a real process sufficiently well before implementation? What is the most efficient method of order reduction to facilitate the implementation of high-order controllers? Different tools, namely system identification, model/controller validation and order reduction are studied in a framework with a common basis: closed-loop identification with a controller that is close to optimal will deliver models with bias and variance errors ideally tuned for control design. As a result, rules are derived, applying to all the methods, that provide the practitioner with a clear way forward despite the apparently unconnected nature of the modelling tools. Detailed worked examples, representative of various industrial applications, are given:

Who reads Process Modelling for Control: A Unified Framework Using Standard Black-box Techniques (Advances in Industrial Control)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Benoît Codrons
Publisher
Springer-Verlag London Limited
Published
2005
Language
EN
ISBN
9786610412440
Category
nonfiction
Subjects
Engineering, Mathematics, Computer Science

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