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A necessary condition for effective performance of the multiple model adaptive estimator

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1 Author(s)
Caputi, M.J. ; Dept. of Eng., Hofstra Univ., Hempstead, NY

Effective adaptive estimation for a general linear system driven by an input modeled by a randomly switching Gaussian process is considered. The performance of the multiple model adaptive estimator (MMAE) is, in some cases, unexpectedly hampered by a necessary condition not satisfied by the linear system. This key dependency for effective MMAE performance is based on a particular property of the DC gain of the linear system

Published in:

Aerospace and Electronic Systems, IEEE Transactions on  (Volume:31 ,  Issue: 3 )

Date of Publication:

Jul 1995

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