Offline neural network based fault tolerant control for vertical tail damaged aircraft

This paper investigates the offline neural network based-fault tolerant control for an aircraft that suffers vertical-tail damage. First, the damaged model of the aircraft is obtained, and the external disturbance is estimated by a disturbance observer then, an optimal control scheme is proposed to...

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書誌詳細
主要な著者: Amin Ziaei, Hamed KharratI, Mina Salim, Ali Farzamnia
フォーマット: Proceedings
言語:English
English
出版事項: IEEE 2021
主題:
オンライン・アクセス:https://eprints.ums.edu.my/id/eprint/31223/3/Offline%20neural%20network%20based%20fault%20tolerant%20control%20for%20vertical%20tail%20damaged%20aircraft-ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/31223/2/Offline%20neural%20network%20based%20fault%20tolerant%20control%20for%20vertical%20tail%20damaged%20aircraft.pdf
https://eprints.ums.edu.my/id/eprint/31223/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105019389&doi=10.1109%2fICCIA52082.2021.9403566&partnerID=40&md5=f4c136835799f278a66f4714ce00c96f
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