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Fuzzy Logic for Flight Control II: Fuzzy Logic Approach to Path Tracking and Obstacles Avoidance of UAVs

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Advanced Fuzzy Logic Technologies in Industrial Applications

Part of the book series: Advances in Industrial Control ((AIC))

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References

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Author information

Authors and Affiliations

  1. National Institute of Aerospace, 100 Exploration Way, Hampton, VA, 23666, USA

    Zhao Sun & Ran Zhang

  2. Electrical and Computer Engineering, North Carolina A&T State University, 1601 E. Market Street, Greensboro, NC, 27411, USA

    Tao Dong, Xiaohong Liao & David Y. Song

Authors
  1. Zhao Sun
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  2. Tao Dong
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  3. Xiaohong Liao
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  4. Ran Zhang
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  5. David Y. Song
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Johnson C. Smith University, Charlotte, North Carolina, USA

    Ying Bai PhD

  2. Department of Electrical Engineering, Florida Atlantic University, Boca Raton, Florida, USA

    Hanqi Zhuang PhD

  3. Department of Physics, Computer Science and Engineering, Christopher Newport University, Newport News, Virginia, USA

    Dali Wang PhD

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© 2006 Springer-Verlag London Limited

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Sun, Z., Dong, T., Liao, X., Zhang, R., Song, D.Y. (2006). Fuzzy Logic for Flight Control II: Fuzzy Logic Approach to Path Tracking and Obstacles Avoidance of UAVs. In: Bai, Y., Zhuang, H., Wang, D. (eds) Advanced Fuzzy Logic Technologies in Industrial Applications. Advances in Industrial Control. Springer, London. https://doi.org/10.1007/978-1-84628-469-4_15

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  • DOI: https://doi.org/10.1007/978-1-84628-469-4_15

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84628-468-7

  • Online ISBN: 978-1-84628-469-4

  • eBook Packages: EngineeringEngineering (R0)

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