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- W2593288466 abstract "Modeling of dynamic systems using system identification became an important discipline as it overrides the errors that may be introduced by traditional modelling techniques. There are two methodologies for identification of systems' models; statistical and deterministic methods. Identification algorithms are proposed in this paper using deterministic neural network and compare the results with regression method. Here the authors are interested in identifying the input output relation of many dynamic systems such as satellites, UAV, Quadcopters etc....." @default.
- W2593288466 created "2017-03-16" @default.
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- W2593288466 date "2016-10-01" @default.
- W2593288466 modified "2023-10-14" @default.
- W2593288466 title "Identifying the attitude of dynamic systems using neuralnetwork" @default.
- W2593288466 cites W1981107783 @default.
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- W2593288466 doi "https://doi.org/10.1109/rst.2016.7869856" @default.
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