£107.98

Springer - Process Modelling for Control - Advances in Industrial Control

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Description

Process Modelling for Control provides a comprehensive look at the essential modelling steps required for successful control design. Part of the Advances in Industrial Control series, this book offers a unified framework using standard black-box techniques to help engineers and researchers navigate complex system identification and validation processes. This text addresses practical challenges faced during industrial control implementation. It provides answers to fundamental questions regarding how to carry out process identification to obtain high-quality models and how to assess model quality before moving into the control design phase. By following these methodologies, users can better ensure that a controller will stabilize a real process effectively before actual implementation begins. Additionally, the book covers efficient methods for order reduction. This is a key component for simplifying the implementation of high-order controllers without losing necessary accuracy. Through a common framework, system identification, model/controller validation, and order reduction are studied together to provide a cohesive approach to industrial control challenges.

Key Features

Provides a unified framework for system identification, model/controller validation, and order reduction using standard black-box techniques.

Offers guidance on performing process identification to obtain high-quality models for reliable control design.

Includes methods to assess model quality before implementation to ensure accuracy in your control systems.

Helps ensure controller stability for real-world processes prior to actual implementation.

Explains efficient order reduction methods to simplify the deployment of high-order controllers.

Product Specifications

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

Barcode

No barcode data available

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