Neural Network–Driven Reentry Reference Trajectory Design and Tracking Using Sliding Mode Control

dc.contributor.author	Mishra, Deepak
dc.contributor.author	Sushnigdha, Gangireddy
dc.date.accessioned	2026-08-20T21:11:50Z
dc.date.available	2026-08-20T21:11:50Z
dc.date.copyright	2025/09/15
dc.date.issued	2025
dc.identifier.other	JAEEEZ.ASENG-6130.pdf
dc.identifier.uri	http://yetl.yabesh.ir/yetl1/handle/yetl/4314096
dc.description.abstract	AbstractThis paper introduces a novel method for designing the optimal reentry trajectory for the hypersonic winged reusable launch vehicle, X-33. The proposed method utilizes a cascaded neural network structure to determine crucial parameters for ...
dc.publisher	American Society of Civil Engineers
dc.title	Neural Network–Driven Reentry Reference Trajectory Design and Tracking Using Sliding Mode Control
dc.type	Journal Article
dc.journal.volume	38
dc.journal.issue	6
dc.journal.title	Journal of Aerospace Engineering
dc.identifier.doi	10.1061/JAEEEZ.ASENG-6130
dc.journal.fristpage	04025104-1
dc.journal.lastpage	04025104-12
dc.page	12
dc.tree	Journal of Aerospace Engineering:;2025:;Volume ( 038 ):;issue: 006
dc.contenttype	Fulltext