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Design of prediction system for aircraft's position based on inverse control technique using adaptive neuro-fuzzy interference system (ANFIS)
Joint Authors
Abd Allah, Ahmad Shakir
Rahimah, Mithaq Nimah
Source
Journal of Babylon University : Journal of Applied and Pure Sciences
Issue
Vol. 27, Issue 1 (28 Feb. 2019), pp.238-248, 11 p.
Publisher
Publication Date
2019-02-28
Country of Publication
Iraq
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
This paper proposes the Adaptive Neuro-Fuzzy Interference System (ANFIS) method to realize the track correlation of Radar.
ANFIS is used for the first time in inverse model in addition to model of aircraft position radar from the recorded data.
The simulation results show that the proposed ANFIS controller has been successfully implemented.
Root mean square error is applied to measure the performance of ANFIS that revealed the optimal setting needed for better estimation of the aircraft position.
Results with RMSE less than 10-4 also show that the controller with ANFIS yields good tracking performance, valuable and easy to implement.
American Psychological Association (APA)
Rahimah, Mithaq Nimah& Abd Allah, Ahmad Shakir. 2019. Design of prediction system for aircraft's position based on inverse control technique using adaptive neuro-fuzzy interference system (ANFIS). Journal of Babylon University : Journal of Applied and Pure Sciences،Vol. 27, no. 1, pp.238-248.
https://search.emarefa.net/detail/BIM-1094644
Modern Language Association (MLA)
Rahimah, Mithaq Nimah& Abd Allah, Ahmad Shakir. Design of prediction system for aircraft's position based on inverse control technique using adaptive neuro-fuzzy interference system (ANFIS). Journal of Babylon University : Journal of Applied and Pure Sciences Vol. 27, no. 1 (2019), pp.238-248.
https://search.emarefa.net/detail/BIM-1094644
American Medical Association (AMA)
Rahimah, Mithaq Nimah& Abd Allah, Ahmad Shakir. Design of prediction system for aircraft's position based on inverse control technique using adaptive neuro-fuzzy interference system (ANFIS). Journal of Babylon University : Journal of Applied and Pure Sciences. 2019. Vol. 27, no. 1, pp.238-248.
https://search.emarefa.net/detail/BIM-1094644
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 11
Record ID
BIM-1094644