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Development of C-Means Clustering Based Adaptive Fuzzy Controller for a Flapping Wing Micro Air Vehicle Cover

Development of C-Means Clustering Based Adaptive Fuzzy Controller for a Flapping Wing Micro Air Vehicle

Journal of Artificial Intelligence and Soft Computing Research
Volume 9 (2019): Issue 2 (April 2019)
By: Md Meftahul Ferdaus,  Sreenatha G. Anavatti,  Matthew A. Garratt and  Mahardhika Pratama  
Open Access
|Dec 2018

Authors

Md Meftahul Ferdaus

m.ferdaus@student.unsw.edu.au

School of Engineering and Information Technology, University of New South Wales at the Australian Defence Force Academy, Canberra, Australia

Sreenatha G. Anavatti

School of Engineering and Information Technology, University of New South Wales at the Australian Defence Force Academy, Canberra, Australia

Matthew A. Garratt

School of Engineering and Information Technology, University of New South Wales at the Australian Defence Force Academy, Canberra, Australia

Mahardhika Pratama

School of Computer Science and Engineering, Nanyang Technological University, Singapore
DOI: https://doi.org/10.2478/jaiscr-2018-0027
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Language: English
Page range: 99 - 109
Submitted on: Feb 5, 2018
|
Accepted on: Jul 18, 2018
|
Published on: Dec 31, 2018
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
adaptive fuzzy,
clustering,
flapping wing,
micro air vehicle
Related subjects:
Computer sciences,
Artificial intelligence,
Databases and data mining

© 2018 Md Meftahul Ferdaus, Sreenatha G. Anavatti, Matthew A. Garratt, Mahardhika Pratama, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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