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- W2628568923 abstract "A model of asymmetrical dynamic system (ASDS) and the method of identifying the model are proposed. An ASDS means that the rising and falling step response are not symmetrical A physical analoge for the ASDS has been established. These two different dynamic characteristics of ASDS can be formulated by formula which describe the linear system For continoous or descrete ASDS the relationship between input and output is described in this paper. For the above ASDS the 5-level pseudo-random signals are used. The output corresponding to rising step input as one group data and falling step input as another graoup of data are intellecturally selected by computer These data are arranged as two matrix and two different linear models are identified by the least squar method. Finallg a test result is presented to show the effectivenes." @default.
- W2628568923 created "2017-06-30" @default.
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- W2628568923 date "1985-07-01" @default.
- W2628568923 modified "2023-09-25" @default.
- W2628568923 title "Modelling and Identification of the Asymmetrical Dynamic System by Partitioned Input and Output Data" @default.
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- W2628568923 doi "https://doi.org/10.1016/s1474-6670(17)60665-7" @default.
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