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.