On output-error methods for system identification

作者: P. Kabaila

DOI: 10.1109/TAC.1983.1103141

关键词:

摘要: In this paper are derived consistency and asymptotic normality results for the output-error method of system identification. The estimator has advantage over prediction-error being more easily computable. However, it is shown that can never be efficient than estimator. main result provides necessary sufficient conditions to have same efficiency, irrespective spectral density noise process.

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