04060nam 22006615 450 991048311820332120240416064017.03-030-18068-910.1007/978-3-030-18068-3(CKB)4100000007992416(MiAaPQ)EBC5755049(DE-He213)978-3-030-18068-3(PPN)243770006(EXLCZ)99410000000799241620190416d2020 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAdaptive and Intelligent Control of Microbial Fuel Cells /by Ravi Patel, Dipankar Deb, Rajeeb Dey, Valentina E. Balas1st ed. 2020.Cham :Springer International Publishing :Imprint: Springer,2020.1 online resource (135 pages)Intelligent Systems Reference Library,1868-4394 ;1613-030-18067-0 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.Intelligent Systems Reference Library,1868-4394 ;161Computational intelligenceRenewable energy resourcesElectrochemistryControl engineeringArtificial intelligenceComputational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Renewable and Green Energyhttps://scigraph.springernature.com/ontologies/product-market-codes/111000Electrochemistryhttps://scigraph.springernature.com/ontologies/product-market-codes/C21010Control and Systems Theoryhttps://scigraph.springernature.com/ontologies/product-market-codes/T19010Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Computational intelligence.Renewable energy resources.Electrochemistry.Control engineering.Artificial intelligence.Computational Intelligence.Renewable and Green Energy.Electrochemistry.Control and Systems Theory.Artificial Intelligence.621.312429Patel Raviauthttp://id.loc.gov/vocabulary/relators/aut1229608Deb Dipankarauthttp://id.loc.gov/vocabulary/relators/autDey Rajeebauthttp://id.loc.gov/vocabulary/relators/autBalas Valentina Emiliaauthttp://id.loc.gov/vocabulary/relators/autBOOK9910483118203321Adaptive and Intelligent Control of Microbial Fuel Cells2854189UNINA