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dc.contributor.authorHossain, M. Alamgir*
dc.contributor.authorMadkour, A.A.M.*
dc.contributor.authorDahal, Keshav P.*
dc.contributor.authorZhang, L.*
dc.date.accessioned2016-10-07T13:08:02Z
dc.date.available2016-10-07T13:08:02Z
dc.date.issued2013
dc.identifier.citationHossain A, Madkour AMM, Dahal K et al (2013) A real-time dynamic optimal guidance scheme using a general regression network. Engineering Applications of Artificial Intelligence. 26(4): 1230-1236.
dc.identifier.urihttp://hdl.handle.net/10454/9580
dc.descriptionNo
dc.description.abstractThis paper presents an investigation into the challenges in implementing a hard real-time optimal non-stationary system using general regression neural network (GRNN). This includes investigation into the dynamics of the problem domain, discretisation of the problem domain to reduce the computational complexity, parameters selection of the optimization algorithm, convergence guarantee for real-time solution and off-line optimization for real-time solution. In order to demonstrate these challenges, this investigation considers a real-time optimal missile guidance algorithm using GRNN to achieve an accurate interception of the maneuvering targets in three-dimension. Evolutionary Genetic Algorithms (GAs) are used to generate optimal guidance training data set for a large missile defense space to train the GRNN. The Navigation, Constant of the Proportional Navigation Guidance and the target position at launching are considered for optimization using GAs. This is achieved by minimizing the. miss distance and missile flight time. Finally, the merits of the proposed schemes for real-time accurate interception are presented and discussed through a set of experiments. (C) 2012 Elsevier Ltd. All rights reserved.
dc.relation.isreferencedbyhttp://dx.doi.org/10.1016/j.engappai.2012.10.007
dc.subjectOptimal guidance algorithms
dc.subject; Proportional navigation guidance
dc.subject; Genetic algorithm
dc.subject; General regression neural network
dc.subject; Computational complexity
dc.subject; Real-time solution
dc.titleA real-time dynamic optimal guidance scheme using a general regression neural network
dc.status.refereedYes
dc.typeArticle
dc.type.versionNo full-text available in the repository


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