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A Recursive Estimation Algorithm for Identification of Dynamic Systems,

机译:一种动态系统辨识的递归估计算法,

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The report deals with the identification of unknown parameters in dynamic systems. In modeling a physical system,the problem of identifying the dynamics of a system are often encountered. The developed algorithm provides a tool to model all or parts of a dynamic system using input-output data sets from a real system. The methodology and techniques of this algorithm are based upon linear recursive estimation theory. The theoretical foundation and the pragmatics of using the ensemble data to estimate the unknown parameters are discussed at length in the development of the algorithm. As an application of the algorithm,experimental data from a man-in-the-loop simulation is used to estimate the parameters of a single axis model of the gunner. The tracking response of the gunner model compare favorably with data obtained from the simulation. (Modified author abstract)

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