Learning prediction-correction guidance for impact time control

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dc.contributor.authorLiu, Zichao
dc.contributor.authorWang, Jiang
dc.contributor.authorHe, Shaoming
dc.contributor.authorShin, Hyo-Sang
dc.contributor.authorTsourdos, Antonios
dc.date.accessioned2021-11-04T14:41:43Z
dc.date.available2021-11-04T14:41:43Z
dc.date.issued2021-10-28
dc.description.abstractThis paper investigates the problem of impact-time-control and proposes a learning-based computational guidance algorithm to solve this problem. The proposed guidance algorithm is developed based on a general prediction-correction concept: the exact time-to-go under proportional navigation guidance with realistic aerodynamic characteristics is estimated by a deep neural network and a biased command to nullify the impact time error is developed by utilizing the emerging reinforcement learning techniques. To deal with the problem of insufficient training data, a transfer-ensemble learning approach is proposed to train the deep neural network. The deep neural network is augmented into the reinforcement learning block to resolve the issue of sparse reward that has been observed in typical reinforcement learning formulation. Extensive numerical simulations are conducted to support the proposed algorithm.en_UK
dc.identifier.citationLiu Z, Wang J, He S, et al., (2021) Learning prediction-correction guidance for impact time control. Aerospace Science and Technology, Volume 119, December 2021, Article number 107187en_UK
dc.identifier.issn1270-9638
dc.identifier.urihttps://doi.org/10.1016/j.ast.2021.107187
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/17237
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectMissile guidanceen_UK
dc.subjectImpact-time-control guidanceen_UK
dc.subjectPrediction-correctionen_UK
dc.subjectTransfer learningen_UK
dc.subjectReinforcement learningen_UK
dc.titleLearning prediction-correction guidance for impact time controlen_UK
dc.typeArticleen_UK

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