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The common parameter estimation basis of adaptive filtering, identification, and control

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1 Author(s)
Johnson, C.R. ; Cornell University, Ithaca, NY

This paper elucidates the parameter estimation basis common to adaptive filtering, identification, and control. This is achieved by converting the input-output form of the discrete adaptive infinite impulse response filtering, adaptive output error identification, and model reference adaptive control problems to a single state-variable form stable error model. This interconnection encourages further cross fertilization of problems and solutions among these often disjointedly pursued applications of adaptive parameter estimation.

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Acoustics, Speech and Signal Processing, IEEE Transactions on  (Volume:30 ,  Issue: 4 )