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Adaptive and intelligent control of ...

Patel, Ravi.

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Adaptive and intelligent control of microbial fuel cells

Record Type:	Electronic resources : Monograph/item
Title/Author:	Adaptive and intelligent control of microbial fuel cells/ by Ravi Patel ... [et al.].
other author:	Patel, Ravi.
Published:	Cham :Springer International Publishing : : 2020.,
Description:	xix, 121 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Microbial fuel cells. -
Online resource:	https://doi.org/10.1007/978-3-030-18068-3
ISBN:	9783030180683

Adaptive and intelligent control of microbial fuel cells
Adaptive and intelligent control of microbial fuel cells[electronic resource] /by Ravi Patel ... [et al.]. - Cham :Springer International Publishing :2020. - xix, 121 p. :ill., digital ;24 cm. - Intelligent systems reference library,v.1611868-4394 ;. - Intelligent systems reference library ;v.161..

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.

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.

ISBN: 9783030180683

Standard No.: 10.1007/978-3-030-18068-3doiSubjects--Topical Terms:

1084923
Microbial fuel cells.

LC Class. No.: TP339

Dewey Class. No.: 621.312429

Adaptive and intelligent control of microbial fuel cells
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245 0 0 $a Adaptive and intelligent control of microbial fuel cells $h [electronic resource] / $c by Ravi Patel ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xix, 121 p. : $b ill., digital ; $c 24 cm.
490 1 $a Intelligent systems reference library, $x 1868-4394 ; $v v.161
505 0 $a 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.
520 $a 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.
650 0 $a Microbial fuel cells. $3 1084923
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Renewable and Green Energy. $3 928108
650 2 4 $a Electrochemistry. $3 557553
650 2 4 $a Control and Systems Theory. $3 3381515
650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Patel, Ravi. $3 1934382
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830 0 $a Intelligent systems reference library ; $v v.161. $3 3442906
856 4 0 $u https://doi.org/10.1007/978-3-030-18068-3
950 $a Intelligent Technologies and Robotics (Springer-42732)