Model Predictive Control: Approaches Based On The Extended State Space Model And Extended Non-minimal State Space Model by Ridong ZhangModel Predictive Control: Approaches Based On The Extended State Space Model And Extended Non-minimal State Space Model by Ridong Zhang

Model Predictive Control: Approaches Based On The Extended State Space Model And Extended Non…

byRidong Zhang, Anke Xue, Furong Gao

Hardcover | August 23, 2018

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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. 

Ridong Zhang  received his Ph.D. in control science and engineering from Zhejiang University, Hangzhou, China, in 2007. From 2007 to 2015, he was a full professor at the Institute of Information and Control, Hangzhou Dianzi University, Hangzhou, and since 2015 he has been a visiting professor at the Chemical and Biomolecular Engineerin...
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Title:Model Predictive Control: Approaches Based On The Extended State Space Model And Extended Non…Format:HardcoverDimensions:137 pages, 9.41 × 7.24 × 0.98 inPublished:August 23, 2018Publisher:Springer NatureLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:9811300828

ISBN - 13:9789811300820

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Table of Contents

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.