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- W2368920257 abstract "Due to the special aerodynamic characteristics and complexity of operating environment,the modeling and determination of the model parameters are faced with higher requirements.The employment of aircraft parameter identification is aimed to determine the model and model's parameters of an aircraft by observing the aircraft's inputs and responses.In this paper,an artificial bee colony based approach is proposed for solving the parameter identification problem under the circumstance of high level of model coupling,nonlinearity and complex operating environment of hypersonic vehicles.Firstly,the parameter identification problem is transformed into an optimization problem,such that feasible solutions of the problem can be denoted as food sources for which the artificial bee colony is seeking.Then information exchanges among the colony and the survival of the fittest are introduced to enable the artificial bee colony to evolve toward a better direction.Scouting bees and chaotic search strategy are adopted,which enable the swarm to jump out of local optima.The feasibility of the proposed method is proved by its implement to identify the lift coefficient of a hypersonic vehicle.A series of comparative results with maximum likelihood method show the better performance of the presented method in systems with measurement noises." @default.
- W2368920257 created "2016-06-24" @default.
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- W2368920257 date "2012-01-01" @default.
- W2368920257 modified "2023-09-25" @default.
- W2368920257 title "Artificial bee colony approach to online parameters identification for hypersonic vehicle" @default.
- W2368920257 hasPublicationYear "2012" @default.
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