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Optimization of an Integrator to Control the Flight of an Airplane

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Recent Developments and New Direction in Soft-Computing Foundations and Applications

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 342))

Abstract

In this paper, we show a fuzzy control optimization using genetic algorithms, and this optimization helps us to improve the flight control of an airplane. To control the flight control of the airplane, fuzzy systems were used to control the stability of the airplane. In this paper, the fuzzy systems and the behavior of the airplane are explained to understand the complete work.

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Correspondence to Leticia Cervantes .

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Cervantes, L., Castillo, O. (2016). Optimization of an Integrator to Control the Flight of an Airplane. In: Zadeh, L., Abbasov, A., Yager, R., Shahbazova, S., Reformat, M. (eds) Recent Developments and New Direction in Soft-Computing Foundations and Applications. Studies in Fuzziness and Soft Computing, vol 342. Springer, Cham. https://doi.org/10.1007/978-3-319-32229-2_28

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  • DOI: https://doi.org/10.1007/978-3-319-32229-2_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32227-8

  • Online ISBN: 978-3-319-32229-2

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