Titlebook: Adaptive and Intelligent Control of Microbial Fuel Cells; Ravi Patel,Dipankar Deb,Valentina E. Balas Book 2020 Springer Nature Switzerland

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Ravi Patel,Dipankar Deb,Valentina E. BalasExplains the basic operation of microbial fuel cells using straightforward language, and can be easily understood by readers with no biology or chemistry background.Addresses intelligent control-orien

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Deconvolution, a glimpse ahead, the impact of operational and design constraints on the output [.,.,.]. Such mathematical modeling is done in two ways: engineering and statistical approaches as shown in Fig. .. Ensemble models can also be formulated by integrating both engineering and statistical models.

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James V. Chapman,Aurelio Sgalambro M.D. dilution rate as a input, and (2) influent substrate concentration as a manipulated input variable. First, the equilibrium points are investigated and the stability at such points using Jacobian matrix is analyzed. An approximate linear model of the SPSC MFC is provided.

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https://doi.org/10.1007/978-3-030-18068-3Microbial Fuel Cells; Biological Fuel Cells; Control-oriented Modeling; Adaptive Control; Uncertain Para