Joint State and Parameter Estimation for Hypersonic Glide Vehicles Based on Moving Horizon Estimation via Carleman Linearization

Joint State and Parameter Estimation for Hypersonic Glide Vehicles Based on Moving Horizon Estimation via Carleman Linearization

Aimed at joint state and parameter estimation problems in hypersonic glide vehicle defense, a novel moving horizon estimation algorithm via Carleman linearization is developed in this paper. First, the maneuver characteristic parameters that reflect the target maneuver law are extended into the stat...

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Bibliographic Details
Main Authors:	Yudong Hu, Changsheng Gao, Wuxing Jing
Format:	Article
Language:	English
Published:	MDPI AG 2022-04-01
Series:	Aerospace
Subjects:	hypersonic glide vehicles joint state and parameter estimation moving horizon estimation Carleman linearization constrained optimization problem inequality constraints
Online Access:	https://www.mdpi.com/2226-4310/9/4/217

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