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Adaptive and Intelligent Control of Microbial Fuel Cells

  • Ravi Patel
  • Dipankar Deb
  • Rajeeb Dey
  • Valentina E. Balas

Part of the Intelligent Systems Reference Library book series (ISRL, volume 161)

Table of contents

  1. Front Matter
    Pages i-xix
  2. Ravi Patel, Dipankar Deb, Rajeeb Dey, Valentina E. Balas
    Pages 1-10
  3. Ravi Patel, Dipankar Deb, Rajeeb Dey, Valentina E. Balas
    Pages 11-28
  4. Ravi Patel, Dipankar Deb, Rajeeb Dey, Valentina E. Balas
    Pages 29-40
  5. Ravi Patel, Dipankar Deb, Rajeeb Dey, Valentina E. Balas
    Pages 41-52
  6. Ravi Patel, Dipankar Deb, Rajeeb Dey, Valentina E. Balas
    Pages 53-65
  7. Ravi Patel, Dipankar Deb, Rajeeb Dey, Valentina E. Balas
    Pages 67-79
  8. Ravi Patel, Dipankar Deb, Rajeeb Dey, Valentina E. Balas
    Pages 81-89
  9. Ravi Patel, Dipankar Deb, Rajeeb Dey, Valentina E. Balas
    Pages 91-98
  10. Ravi Patel, Dipankar Deb, Rajeeb Dey, Valentina E. Balas
    Pages 99-108
  11. Ravi Patel, Dipankar Deb, Rajeeb Dey, Valentina E. Balas
    Pages 109-121

About this book

Introduction

This book addresses a range of solutions and effective control techniques for Microbial Fuel Cells (MFCs), intended as a response to the increased energy consumption and wastewater production stemming from globalization. It describes the fundamentals of MFCs and control-oriented mathematical models, and provides detailed information on uncertain parameters. Various control techniques like robust control with LMI, adaptive backstepping control, and exact linearization control are developed for different mathematical models.

In turn, the book elaborates on the basics of adaptive control, presenting several methods in detail. It also demonstrates how MFCs can be developed at the laboratory level, equipping readers to develop their own MFCs for experimental purposes. In closing, it develops a transfer function model for MFCs by combining a system identification technique and model reference adaptive control techniques. By addressing one of the most promising sources of clean and renewable energy, this book provides a viable solution for meeting the world’s increasing energy demands.


Keywords

Microbial Fuel Cells Biological Fuel Cells Control-oriented Modeling Adaptive Control Uncertain Parameters Linear Matrix Inequality (LMI) Estimation, Norm Bounded Uncertainty Single Chamber Two Chambers

Authors and affiliations

  • Ravi Patel
    • 1
  • Dipankar Deb
    • 2
  • Rajeeb Dey
    • 3
  • Valentina E. Balas
    • 4
  1. 1.University of AucklandAucklandNew Zealand
  2. 2.Institute of Infrastructure Technology Research and ManagementAhmedabadIndia
  3. 3.Department of Electrical EngineeringNational Institute of Technology SilcharIndia
  4. 4.“Aurel Vlaicu” University of AradAradRomania

Bibliographic information

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