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Adaptive Control of Single Chamber Two-Population MFC

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Adaptive and Intelligent Control of Microbial Fuel Cells

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 161))

Abstract

In this chapter, an adaptive state feedback control technique is developed for SC MFC with two bacterial species. The stability of system in closed-loop is evaluated by Lyapunov stability analysis and the system performance in presence of parametric uncertainties is validated through appropriate simulation work.

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References

  1. Zi-Qin, W., Sigurd, S., Ying, Z.: Exact linearization control of continuous bioreactors: a comparison of various structures. In: 2nd IEEE Conference on Control Applications, pp. 107–112 (1993)

    Google Scholar 

  2. Pinto, P., Srinivasan, B., Manuel, F., Tartakovsky, B.: A two-population bio-electrochemical model of a microbial fuel cell. Bioresour. Technol. 101(14), 5256–5265 (2010)

    Article  Google Scholar 

  3. Patel, R., Deb, D.: Control-oriented parametrized models for microbial fuel cells. In: 2017 6th International Conference on Computer Applications In Electrical Engineering-Recent Advances (CERA), pp. 152–157 (2017)

    Google Scholar 

  4. Nath, A., Deb, D., Dey, R., Das, S.: Blood glucose regulation in type 1 diabetic patients: an adaptive parametric compensation control-based approach. IET Syst. Biol. 12(5), 219–225 (2018)

    Article  Google Scholar 

  5. Deb, D., Gang, T., Burkholder, J.O., Smith, D.R.: An adaptive inverse control scheme for a synthetic jet actuator model. Am. Control Conf., 2646–2651 (2005)

    Google Scholar 

  6. Patel, R., Deb, D.: Parametrized control-oriented mathematical model and adaptive backstepping control of a single chamber single population microbial fuel cell. J. Power Sour. 396, 599–605 (2018)

    Article  Google Scholar 

  7. Deb, D., Gang, T., Burkholder, J.O., Smith, D.R.: Adaptive compensation control of synthetic jet actuator arrays for airfoil virtual shaping. J. Aircr. 44(2), 616–626 (2007)

    Article  Google Scholar 

  8. Lavretsky, E., Wise, K.A.: Robust and adaptive control, advance textbooks in control and signal processing (2013)

    Google Scholar 

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Correspondence to Ravi Patel , Dipankar Deb , Rajeeb Dey or Valentina E. Balas .

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Patel, R., Deb, D., Dey, R., E. Balas, V. (2020). Adaptive Control of Single Chamber Two-Population MFC. In: Adaptive and Intelligent Control of Microbial Fuel Cells. Intelligent Systems Reference Library, vol 161. Springer, Cham. https://doi.org/10.1007/978-3-030-18068-3_7

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