System parameter identification with an extended kalman-bucy filtering algorithm
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    Abstract:

    Based on the analogy between structural mechanics and Kalman filtering,a new extended Kalman-Bucy filtering algorithm was presented to identify parameters of continuous time systems.The algorithm employed the substructures assembly technique of structural mechanics,and the estimation of system states and parameters was embedded in the procedure of substructures assembling.The precise integration method provided all the off-line data for the parameter identification in advance.

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History
  • Received:January 12,2004
  • Revised:February 20,2004
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