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    Parameter Estimation by Parameter Signature Isolation in the Time-Scale Domain 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2009:;volume( 131 ):;issue: 004:;page 41008
    Author(s): Kourosh Danai; James R. McCusker
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: It is shown that output sensitivities of dynamic models can be better delineated in the time-scale domain. This enhanced delineation provides the capacity to isolate regions of the time-scale ...
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    Erratum: “Parameter Estimation by Parameter Signature Isolation in the Time-Scale Domain” [Journal of Dynamic Systems, Measurement, and Control, 2009, 131(4), p. 041008] 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2011:;volume( 133 ):;issue: 001:;page 17001
    Author(s): Kourosh Danai; James R. McCusker
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Equation 8 should beDisplay FormulaϵN(u(t),Θ∗,Θ¯)≈ΦΔΘ+ν (8) Equation 29 should beDisplay FormulaΔΘˆ=(ΦTΦ)−1ΦTϵN (29)
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    Measurement Selection for Engine Transients by Parameter Signatures 

    Source: Journal of Engineering for Gas Turbines and Power:;2010:;volume( 132 ):;issue: 012:;page 121601
    Author(s): James R. McCusker; Kourosh Danai
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A method of measurement selection is introduced that relies on parameter signatures to assess the identifiability of dynamic model parameters by different outputs. A parameter signature is a ...
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    Validation of Dynamic Models in the Time-Scale Domain 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2010:;volume( 132 ):;issue: 006:;page 61402
    Author(s): James R. McCusker; David O. Kazmer; Kourosh Danai
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Model validation is the procedure whereby the fidelity of a model is evaluated. The traditional approaches to dynamic model validation consider model outputs and observations as time series and ...
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