Adaptive and Intelligent Control of Microbial Fuel Cells / Ravi Patel, Dipankar Deb, Rajeeb Dey, Valentina E. Balas.
Patel, Ravi.; Deb, Dipankar.; Dey, Rajeeb.; Balas, Valentina E.
2020
TP339
Available Online

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Title Adaptive and Intelligent Control of Microbial Fuel Cells / Ravi Patel, Dipankar Deb, Rajeeb Dey, Valentina E. Balas.
Author Patel, Ravi.
ISBN 9783030180683 (electronic book)
3030180689 (electronic book)
3030180670
9783030180676
Publication Details Cham : Springer, ©2020.
Language English
Description 1 online resource (135 pages)
Item Number 10.1007/978-3-030-18
Call Number TP339
Dewey Decimal Classification 621.31/2429
Summary 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 worlds increasing energy demands.
Bibliography, etc. Note Includes bibliographical references.
Access Note Access limited to authorized users.
Source of Description Description based on print version record.
Added Author Deb, Dipankar.
Dey, Rajeeb.
Balas, Valentina E.
Series Intelligent systems reference library ; v. 161.
Available in Other Form Adaptive and Intelligent Control of Microbial Fuel Cells.
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Record Appears in Online Resources > Ebooks
All Resources
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.

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