Latest revision as of 19:38, 1 February 2021

Abstract

fuzzy decision system for helping air-traffic experts in controlling airplane velocities and in keeping an airplane flight within several constraints established to air lane sections is proposed in this paper. Automatic systems for air-traffic control are essential due to the ever increasing number of airplanes flying all over the world, the amount of environmental and airplane constraints and the necessity to guarantee the safety both for flights and for air-traffic control operators. The proposed system uses Mamdani direct inference method. Results show the effectiveness of the developed fuzzy system in controlling the airplane velocity to achieve the desired performance and encourage the adequacy of the system to include several different variables usually employed in air-traffic control.

Original document

The different versions of the original document can be found in:

• http://urlib.net/sid.inpe.br/mtc-m17@80/2006/11.29.17.16

• http://xplorestaging.ieee.org/ielx5/11093/35437/01681918.pdf?arnumber=1681918,

http://dx.doi.org/10.1109/fuzzy.2006.1681918

• http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000001681918,

https://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1681918,

https://dblp.uni-trier.de/db/conf/fuzzIEEE/fuzzIEEE2006.html#LovatoAS06,

https://dx.doi.org/10.1109/FUZZY.2006.1681918,

http://ieeexplore.ieee.org/document/1681918,

https://academic.microsoft.com/#/detail/2135857539