Adaptive and Intelligent Control of Microbial Fuel Cells

Nonfiction, Science & Nature, Science, Physics, Energy, Computers, Advanced Computing, Artificial Intelligence, General Computing
Cover of the book Adaptive and Intelligent Control of Microbial Fuel Cells by Ravi Patel, Dipankar Deb, Rajeeb Dey, Valentina E. Balas, Springer International Publishing
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Author: Ravi Patel, Dipankar Deb, Rajeeb Dey, Valentina E. Balas ISBN: 9783030180683
Publisher: Springer International Publishing Publication: April 16, 2019
Imprint: Springer Language: English
Author: Ravi Patel, Dipankar Deb, Rajeeb Dey, Valentina E. Balas
ISBN: 9783030180683
Publisher: Springer International Publishing
Publication: April 16, 2019
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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