Adaptive and Intelligent Control of Microbial Fuel Cells

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.

• 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

• University of Auckland, Auckland, New Zealand

  Ravi Patel

• Institute of Infrastructure Technology Research and Management, Ahmedabad, India

  Dipankar Deb

• Department of Electrical Engineering, National Institute of Technology , Silchar, India

  Rajeeb Dey

• “Aurel Vlaicu” University of Arad, Arad, Romania

  Valentina E. Balas

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