Controller Tuning with Evolutionary Multiobjective Optimization

A Holistic Multiobjective Optimization Design Procedure

  • Gilberto Reynoso Meza
  • Xavier Blasco Ferragud
  • Javier Sanchis Saez
  • Juan Manuel Herrero Durá

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Fundamentals

    1. Front Matter
      Pages 1-1
    2. Gilberto Reynoso Meza, Xavier Blasco Ferragud, Javier Sanchis Saez, Juan Manuel Herrero Durá
      Pages 3-21
    3. Gilberto Reynoso Meza, Xavier Blasco Ferragud, Javier Sanchis Saez, Juan Manuel Herrero Durá
      Pages 23-58
    4. Gilberto Reynoso Meza, Xavier Blasco Ferragud, Javier Sanchis Saez, Juan Manuel Herrero Durá
      Pages 59-88
  3. Basics

    1. Front Matter
      Pages 89-89
    2. Gilberto Reynoso Meza, Xavier Blasco Ferragud, Javier Sanchis Saez, Juan Manuel Herrero Durá
      Pages 91-105
    3. Gilberto Reynoso Meza, Xavier Blasco Ferragud, Javier Sanchis Saez, Juan Manuel Herrero Durá
      Pages 107-122
    4. Gilberto Reynoso Meza, Xavier Blasco Ferragud, Javier Sanchis Saez, Juan Manuel Herrero Durá
      Pages 123-144
  4. Benchmarking

    1. Front Matter
      Pages 145-145
    2. Gilberto Reynoso Meza, Xavier Blasco Ferragud, Javier Sanchis Saez, Juan Manuel Herrero Durá
      Pages 147-157
    3. Gilberto Reynoso Meza, Xavier Blasco Ferragud, Javier Sanchis Saez, Juan Manuel Herrero Durá
      Pages 159-172
    4. Gilberto Reynoso Meza, Xavier Blasco Ferragud, Javier Sanchis Saez, Juan Manuel Herrero Durá
      Pages 173-183
  5. Applications

    1. Front Matter
      Pages 185-185
    2. Gilberto Reynoso Meza, Xavier Blasco Ferragud, Javier Sanchis Saez, Juan Manuel Herrero Durá
      Pages 187-199
    3. Gilberto Reynoso Meza, Xavier Blasco Ferragud, Javier Sanchis Saez, Juan Manuel Herrero Durá
      Pages 201-213
    4. Gilberto Reynoso Meza, Xavier Blasco Ferragud, Javier Sanchis Saez, Juan Manuel Herrero Durá
      Pages 215-227

About this book

Introduction

This book is devoted to Multiobjective Optimization Design (MOOD) procedures for controller tuning applications, by means of Evolutionary Multiobjective Optimization (EMO). It presents developments in tools, procedures and guidelines to facilitate this process, covering the three fundamental steps in the procedure: problem definition, optimization and decision-making. The book is divided into four parts. The first part, Fundamentals, focuses on the necessary theoretical background and provides specific tools for practitioners. The second part, Basics, examines a range of basic examples regarding the MOOD procedure for controller tuning, while the third part, Benchmarking, demonstrates how the MOOD procedure can be employed in several control engineering problems. The fourth part, Applications, is dedicated to implementing the MOOD procedure for controller tuning in real processes.

Keywords

Controller Tuning Decision Making Evolutionary Multiobjective Optimization MOOD Multiobjective Optimization Design Procedure Multiobjective Problems

Authors and affiliations

  • Gilberto Reynoso Meza
    • 1
  • Xavier Blasco Ferragud
    • 2
  • Javier Sanchis Saez
    • 3
  • Juan Manuel Herrero Durá
    • 4
  1. 1.Pontifícia Universidade Católica do ParanáCuritibaBrazil
  2. 2.Universitat Politècnica de ValènciaValenciaSpain
  3. 3.Universitat Politècnica de ValènciaValenciaSpain
  4. 4.Universitat Politècnica de ValènciaValenciaSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-41301-3
  • Copyright Information Springer International Publishing Switzerland 2017
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-41299-3
  • Online ISBN 978-3-319-41301-3
  • Series Print ISSN 2213-8986
  • Series Online ISSN 2213-8994
  • About this book