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The Convergence of output Error Recursions in Infinite Order Moving Average Noise

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New Directions in Time Series Analysis

Part of the book series: The IMA Volumes in Mathematics and its Applications ((IMA,volume 46))

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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.

The research reported here has been supported by the U.S. Army Research Office under Contract No. DAAL-03–88-K0046, and by the Joint Services Electronics Program under Contract No. N00014–90-J-1270. The work or the first author was supported by an International Paper Company Fellowship.

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© 1993 Springer-Verlag New York, Inc.

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Ren, W., Kumar, P.R. (1993). The Convergence of output Error Recursions in Infinite Order Moving Average Noise. In: Brillinger, D., Caines, P., Geweke, J., Parzen, E., Rosenblatt, M., Taqqu, M.S. (eds) New Directions in Time Series Analysis. The IMA Volumes in Mathematics and its Applications, vol 46. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-9296-5_18

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  • DOI: https://doi.org/10.1007/978-1-4613-9296-5_18

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4613-9298-9

  • Online ISBN: 978-1-4613-9296-5

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