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    Inferring Human Control Intent Using Inverse Linear Quadratic Regulator With Output Penalty Versus Gain Penalty: Better Fit but Similar Intent 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2024:;volume( 146 ):;issue: 006:;page 61103-1
    Author(s): Yu, Heejin; Ramadan, Ahmed; Cholewicki, Jacek; Popovich, John M., Jr.; Reeves, N. Peter; You, Joshua (Sung) H.; Choi, Jongeun
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: To identify the underlying mechanisms of human motor control, parametric models are utilized. One approach of employing these models is the inferring the control intent (estimating motor control strategy). A well-accepted ...
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    Dynamic Analysis of Horizontal Axis Wind Turbines under Thunderstorm Downbursts 

    Source: Journal of Structural Engineering:;2023:;Volume ( 149 ):;issue: 011:;page 04023143-1
    Author(s): Mostafa Ramadan Ahmed; Ashraf El Damatty; Kaoshan Dai; Wensheng Lu
    Publisher: ASCE
    Abstract: Wind turbines are among the fastest-growing technologies for producing sustainable energy. Although numerous studies have been carried out to investigate the dynamic behavior of wind turbines exposed to synoptic winds, the ...
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    Selecting Sensitive Parameter Subsets in Dynamical Models With Application to Biomechanical System Identification 

    Source: Journal of Biomechanical Engineering:;2018:;volume( 140 ):;issue: 007:;page 74503
    Author(s): Ramadan, Ahmed; Boss, Connor; Choi, Jongeun; Peter Reeves, N.; Cholewicki, Jacek; Popovich,, Jr., John M.; Radcliffe, Clark J.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Estimating many parameters of biomechanical systems with limited data may achieve good fit but may also increase 95% confidence intervals in parameter estimates. This results in poor identifiability in the estimation ...
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