20 research outputs found
Choice of the Sampling Interval for the Identification of Continuous-time Systems from Samples of Input/output Data
Get PDFConclusions An indirect method of parameter estimation for continuous-time systems from sampled input/output data has been described. Firstly, the ARMA model of the system is identified from the sampled data. Then the order of the reduced model is determined by the dispersion analysis. Finally, the continuous model is obtained by matching the frequency responses of the discrete-time model and the continuous-time model. The proposed estimation procedures have been applied to a power system stabilizer, and satisfactory results are obtained. Acknowledgment This work was supported by the Taipower Company. Reference
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Full text linkInnovative Application of Digitized Design in Traditional Manufacturing: An Example in the Powder Metallurgy Industry
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Scheduling and Placement of Hardware/Software Real-Time Relocatable Tasks in Dynamically Partially Reconfigurable Systems
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Coupling multiplex RT-PCR to a gene chip assay for sensitive and semiquantitative detection of severe acute respiratory syndrome-coronavirus
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Structural Characterization of a New Sesquiterpene from the Fungal Strain Monascus kaoliang
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