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Real-Time Fuzzy Logic Controllers

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Fuzzy Logic Type 1 and Type 2 Based on LabVIEW™ FPGA

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 334))

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Abstract

Nonlinear control involves a nonlinear relationship between the controller’s inputs and outputs and is more complicated than linear control; however, it is able to achieve better performance than linear control for many real-world control applications.

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Author information

Authors and Affiliations

  1. Tecnologico de Monterrey, Campus Ciudad de México, Tlalpan, Distrito Federal, Mexico

    Pedro Ponce-Cruz & Arturo Molina

  2. National Instruments Corporation, Austin, TX, USA

    Brian MacCleery

Authors
  1. Pedro Ponce-Cruz
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  2. Arturo Molina
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  3. Brian MacCleery
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Corresponding author

Correspondence to Pedro Ponce-Cruz .

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© 2016 Springer International Publishing Switzerland

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Ponce-Cruz, P., Molina, A., MacCleery, B. (2016). Real-Time Fuzzy Logic Controllers. In: Fuzzy Logic Type 1 and Type 2 Based on LabVIEW™ FPGA. Studies in Fuzziness and Soft Computing, vol 334. Springer, Cham. https://doi.org/10.1007/978-3-319-26656-5_3

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  • DOI: https://doi.org/10.1007/978-3-319-26656-5_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26655-8

  • Online ISBN: 978-3-319-26656-5

  • eBook Packages: EngineeringEngineering (R0)

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