Abstract
Abstract Identification of open loop transfer functions in a feedback system is studied by the autoregressive analysis. Since an autoregressive model is a kind of truncated power series, bias effects are examined under an identifiable condition of the feedback system. Bias effects are mainly evaluated by zeros of innovation model equivalent to the feedback system, and disappears by a factor of minus power of the zeros, as the autoregressive model order becomes large.
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