The Convergence of output Error Recursions in Infinite Order Moving Average Noise
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abstract
We consider the problem of the global convergence of the output error identification scheme in the presence of colored noise. The adaptation scheme utilizes at each step a projection of the parameter estimate vector onto a compact, convex set known to contain the true parameter. We establish convergence of the scheme for infinite order moving average noise with geometrically decaying weights.
