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Model Predictive Control

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

  • Ridong Zhang
  • Anke Xue
  • Furong Gao
Book
  • 10k Downloads

Table of contents

  1. Front Matter
    Pages i-xv
  2. Ridong Zhang, Anke Xue, Furong Gao
    Pages 1-14
  3. Basic Algorithms

    1. Front Matter
      Pages 15-15
    2. Ridong Zhang, Anke Xue, Furong Gao
      Pages 17-27
    3. Ridong Zhang, Anke Xue, Furong Gao
      Pages 29-35
    4. Ridong Zhang, Anke Xue, Furong Gao
      Pages 37-50
    5. Ridong Zhang, Anke Xue, Furong Gao
      Pages 59-63
    6. Ridong Zhang, Anke Xue, Furong Gao
      Pages 65-82
  4. System Performance Analysis, Optimization and Application

    1. Front Matter
      Pages 83-83
    2. Ridong Zhang, Anke Xue, Furong Gao
      Pages 85-92
    3. Ridong Zhang, Anke Xue, Furong Gao
      Pages 93-108
    4. Ridong Zhang, Anke Xue, Furong Gao
      Pages 109-125
    5. Ridong Zhang, Anke Xue, Furong Gao
      Pages 127-137

About this book

Introduction

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. 

Keywords

Model Predictive Control Process Control Control Engineering State Space Models PID Control Extended state space models

Authors and affiliations

  • Ridong Zhang
    • 1
  • Anke Xue
    • 2
  • Furong Gao
    • 3
  1. 1.Institute of Information and ControlHangzhou Dianzi UniversityHangzhouChina
  2. 2.Key Lab for IOT and Information Fusion Technology of Zhejiang, Institute of Information and ControlHangzhou Dianzi UniversityHangzhouChina
  3. 3.Department of Chemical and Biomolecular EngineeringHong Kong University of Science and TechnologyHong KongChina

Bibliographic information

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