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000921851 019__ $$a1099319033$$a1099473205$$a1105178017
000921851 020__ $$a9783030180683$$q(electronic book)
000921851 020__ $$a3030180689$$q(electronic book)
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000921851 020__ $$z9783030180676
000921851 0248_ $$a10.1007/978-3-030-18
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000921851 049__ $$aISEA
000921851 050_4 $$aTP339
000921851 08204 $$a621.31/2429$$223
000921851 1001_ $$aPatel, Ravi.
000921851 24510 $$aAdaptive and Intelligent Control of Microbial Fuel Cells /$$cRavi Patel, Dipankar Deb, Rajeeb Dey, Valentina E. Balas.
000921851 260__ $$aCham :$$bSpringer,$$c©2020.
000921851 300__ $$a1 online resource (135 pages)
000921851 336__ $$atext$$btxt$$2rdacontent
000921851 337__ $$acomputer$$bc$$2rdamedia
000921851 338__ $$aonline resource$$bcr$$2rdacarrier
000921851 4901_ $$aIntelligent Systems Reference Library ;$$vv. 161
000921851 504__ $$aIncludes bibliographical references.
000921851 5050_ $$aIntroduction -- Mathematical Modelling -- Model Analysis of Single Population Single Chamber MFC -- Robust Control design of SPSC Microbial Fuel Cell with norm bounded uncertainty -- Introduction to Adaptive Control.
000921851 506__ $$aAccess limited to authorized users.
000921851 520__ $$aThis book addresses a range of solutions and effective control techniques for Microbial Fuel Cells (MFCs), intended as a response to the increased energy consumption and wastewater production stemming from globalization. It describes the fundamentals of MFCs and control-oriented mathematical models, and provides detailed information on uncertain parameters. Various control techniques like robust control with LMI, adaptive backstepping control, and exact linearization control are developed for different mathematical models. In turn, the book elaborates on the basics of adaptive control, presenting several methods in detail. It also demonstrates how MFCs can be developed at the laboratory level, equipping readers to develop their own MFCs for experimental purposes. In closing, it develops a transfer function model for MFCs by combining a system identification technique and model reference adaptive control techniques. By addressing one of the most promising sources of clean and renewable energy, this book provides a viable solution for meeting the worlds increasing energy demands.
000921851 588__ $$aDescription based on print version record.
000921851 650_0 $$aMicrobial fuel cells.
000921851 7001_ $$aDeb, Dipankar.
000921851 7001_ $$aDey, Rajeeb.
000921851 7001_ $$aBalas, Valentina E.
000921851 77608 $$iPrint version:$$aPatel, Ravi.$$tAdaptive and Intelligent Control of Microbial Fuel Cells.$$dCham : Springer, ©2019$$z9783030180676
000921851 830_0 $$aIntelligent systems reference library ;$$vv. 161.
000921851 852__ $$bebk
000921851 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-18068-3$$zOnline Access$$91397441.1
000921851 909CO $$ooai:library.usi.edu:921851$$pGLOBAL_SET
000921851 980__ $$aEBOOK
000921851 980__ $$aBIB
000921851 982__ $$aEbook
000921851 983__ $$aOnline
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