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Model Predictive Control
eBook
eBook
Fachbuch
2018

Model Predictive Control

Approaches Based on the Extended State Space Model and Extended Non-minimal State Space Model

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ISBN
EAN
978-981-1300-83-7
9789811300837
Artikel-Nr.
5456EDR
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-21.7
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CHF 141.50
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110.73
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1
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This monograph introduces the authors’ work on model predictive control system design using extended state space and extended non-minimal state space approaches. It systematically describes model predictive control design for chemical processes, including the basic control algorithms, the extension to predictive functional control, constrained control, closed-loop system analysis, model predictive control optimization-based PID control, genetic algorithm optimization-based model predictive control, and industrial applications. Providing important insights, useful methods and practical algorithms that can be used in chemical process control and optimization, it offers a valuable resource for researchers, scientists and engineers in the field of process system engineering and control engineering. 

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Inhaltsverzeichnis

Introduction.- Model Predictive Control Based on Extended State Space Model.- Predictive Functional Control Based on Extended State Space Model.- Model Predictive Control Based on Extended Non-Minimal State Space Model.- Predictive Functional Control Based on Extended Non-minimal State Space Model.- Model Predictive Control Under Constraints.- PID Control Using Extended Non-minimal State Space Model Optimization.- Closed-loop System Performance Analysis.- Model Predictive Control Performance Optimized by Genetic Algorithm.- Industrial Application.- Further Ideas on MPC and PFC Using Relaxed Constrained Optimization.

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Publikation
Singapur
14.08.2018
Springer Verlag
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Sprache
Englisch
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eBook
PDF
137 Seiten
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