Robust Guidance Algorithmfor Reentry Vehicles based on PLS Regression in the Presence ofInitail Parameter Uncertainties

The atmospheric re-entry phase is one of the most significantmission steps in the space missions;hence, theguidance and control of reentry vehicles in this phase of mission is important. In this article, a reentry vehicle guidance algorithm has been proposed which has suitable robustness in the pres...

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Bibliographic Details

Published in:	فصلنامه علوم و فناوری فضایی
Main Authors:	atefeh hoseinzadeh, Amirhossain Adami, Asghar Ebrahimi
Format:	Article
Language:	Persian
Published:	Aerospace Research Institute 2018-02-01
Subjects:	re-entry vehicles optimal guidance robustguidance uncertainty nonlinear quadratic tracking (nqt) regression partial least squares (pls)
Online Access:	https://jsst.ias.ir/article_59713_61df48837ca5813f8b71c640b413bda6.pdf