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- W2096488052 abstract "This paper addresses the design of gradient-based search algorithms for multivariable system estimation. In particular, the paper here considers so-called ldquofull parametrizationrdquo approaches, and establishes that the recently developed ldquodata-driven local coordinaterdquo methods can be seen as a special case within a broader class of techniques that are designed to deal with rank-deficient Jacobians. This informs the design of a new algorithm that, via a strategy of dynamic Jacobian rank determination, is illustrated to offer enhanced performance." @default.
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- W2096488052 date "2008-02-01" @default.
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- W2096488052 title "On Gradient-Based Search for Multivariable System Estimates" @default.
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- W2096488052 doi "https://doi.org/10.1109/tac.2007.914953" @default.
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