Adaptive and Intelligent Control of Microbial Fuel Cells

by Ravi Patel, Dipankar Deb, Rajeeb Dey, Valentina E. Balas

Overview

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.

Product Details

ISBN-13:	9783030180676
Publisher:	Springer International Publishing
Publication date:	04/17/2019
Series:	Intelligent Systems Reference Library , #161
Edition description:	1st ed. 2020
Pages:	121
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of Contents

Introduction.- Mathematical Modelling.- Model Analysis of Single Population Single Chamber MFC.- Robust Control design of SPSC Microbial Fuel Cell with norm bounded uncertainty.- Introduction to Adaptive Control.