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- W2392967787 abstract "It is very difficult to build the more complete model on studying dynamic analysis of the large -scale complicated mechanical systems, because there are plenty of nonlinear factors. So the method of the Phase Space Reconstruction of the nonlinear time series is usually taken use of to solve those problems.It is an effective method to excavate the deep level information of the nonlinear time series. But it is very important but difficult to select the parameters when we study the space reconstruction. So the relationship of embedding dimension and delay time is discussed in this paper. As there exists massive redundant computation in the determination of these parameters in the earlier approach, we use the G -P method based on geometric invariants and mutual information method in the information theory to find the optimal selection of embedding dimension and delay time. Finally we simulate the data collecting from the Lorenz equation for algorithm verification." @default.
- W2392967787 created "2016-06-24" @default.
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- W2392967787 date "2009-01-01" @default.
- W2392967787 modified "2023-09-24" @default.
- W2392967787 title "Study in the Phase Space Reconstruction of Large-scale Complicated Mechanical System" @default.
- W2392967787 hasPublicationYear "2009" @default.
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