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Modeling and Control of Batch Processes

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Cover of 'Modeling and Control of Batch Processes'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Batch Process Modeling and Control: Background
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    Chapter 3 Safe-Steering of Batch Processes
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    Chapter 4 Robust Model Predictive Control and Fault-Handling of Batch Processes
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    Chapter 5 Transition From Batch to Continuous Operation in Bio-reactors: A Model Predictive Control Approach and Application
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    Chapter 6 Integrating Data-Based Modeling and Nonlinear Control Tools for Batch Process Control
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    Chapter 7 An Adaptive Data-Based Modeling Approach for Predictive Control of Batch Systems
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    Chapter 8 Data-Driven Model Predictive Quality Control of Batch Processes
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    Chapter 9 Model Predictive Quality Control of Polymethyl Methacrylate
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    Chapter 10 Multi-rate Modeling and Economic Model Predictive Control of the Electric Arc Furnace
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    Chapter 11 Subspace Identification for Data-Driven Modeling and Quality Control of Batch Processes
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    Chapter 12 Handling Multi-rate and Missing Data in Variable Duration Economic Model Predictive Control of Batch Processes with Application to Electric Arc Furnace Operation
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    Chapter 13 Data-Driven Modeling and Quality Control of Variable Duration Batch Processes with Discrete Inputs
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    Chapter 14 Subspace Identification Based Modeling and Control of Batch Particulate Processes
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    Chapter 15 Subspace-Based Model Identification of a Hydrogen Plant Startup Dynamics
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Title
Modeling and Control of Batch Processes
Published by
Springer International Publishing, January 2019
DOI 10.1007/978-3-030-04140-3
ISBNs
978-3-03-004139-7, 978-3-03-004140-3
Authors

Prashant Mhaskar, Abhinav Garg, Brandon Corbett, Mhaskar, Prashant, Garg, Abhinav, Corbett, Brandon

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 33%
Student > Master 4 22%
Student > Bachelor 2 11%
Professor 1 6%
Other 1 6%
Other 2 11%
Unknown 2 11%
Readers by discipline Count As %
Engineering 7 39%
Chemical Engineering 5 28%
Chemistry 2 11%
Unknown 4 22%