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Springer Process Modelling for Control - Springer Industrial Framework

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Description

Process Modelling for Control provides a unified framework for mastering the essential modelling steps that underpin successful control design. This comprehensive guide addresses critical questions in process identification, model quality assessment, controller validation, and order reduction techniques. Written by experts in industrial control, the book consolidates system identification, model and controller validation, and order reduction within a single cohesive framework using standard black-box techniques. Whether you are designing controllers for complex industrial processes or seeking to improve your modelling methodology, this Springer publication offers practical insights and proven strategies to ensure your controllers stabilise real processes effectively before implementation. The text bridges the gap between theory and practice, making it an invaluable resource for engineers, researchers, and control professionals working in manufacturing, chemical processing, and other process industries.

Key Features

Addresses key questions about process identification, model quality assessment, and controller validation in a single unified framework.

Covers system identification, model and controller validation, and order reduction techniques using standard black-box methods.

Published by Springer as part of the Advances in Industrial Control series for authoritative technical content.

Provides practical guidance on simplifying high-order controllers through efficient order reduction methodology.

Offers strategies to ensure controllers stabilise real industrial processes effectively before deployment.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
21 October 2010
Listed Since
01 October 2010

Barcode

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