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Elsevier Dynamic Model Development - Engineering & Technology

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Description

Gain a competitive advantage in process engineering with Dynamic Model Development: Methods, Theory and Applications by Elsevier. This text explores how companies use detailed mathematical models for model-based process design, control, and optimization. As building high-quality models becomes a key activity in the field, this resource covers essential techniques for processing systems. It addresses complex topics such as nonlinear systems identification, model solution techniques, and model verification and validation. The content also examines the optimal design of experiments and the various issues and open-ended problems that arise within the discipline. This book serves as a technical guide for those working in bioengineering and process engineering sectors.

Key Features

Elsevier presents a comprehensive look at mathematical models used for process design, control, and optimization.

Learn essential techniques including nonlinear systems identification and model solution methods.

Understand the processes for model verification and validation to ensure high-quality processing systems.

Explore the optimal design of experiments to support advanced model development and application.

Address open-ended problems and issues within the field of process engineering and bioengineering.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
07 April 2015
Listed Since
07 April 2015

Barcode

No barcode data available

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