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    Information Theoretic Causality Measures for System Identification of Mechanical Systems 

    Source: Journal of Computational and Nonlinear Dynamics:;2018:;volume( 013 ):;issue: 007:;page 71005
    Author(s): Elinger, Jared; Rogers, Jonathan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Parameter estimation and model order reduction (MOR) are important system identification techniques used in the development of models for mechanical systems. A variety of classical parameter estimation and MOR methods are ...
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    System Identification of an Actuated Inclined Ball Mechanism Via Causation Entropy 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2022:;volume( 144 ):;issue: 012:;page 124502
    Author(s): Elinger, Jared;Rogers, Jonathan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Greybox and blackbox dynamic models are routinely used to model the behavior of realworld dynamic systems. When creating such models, the identification of an accurate model structure (often referred to as covariate ...
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    Practical Considerations for Use of Causation Entropy in Sparsity Identification 

    Source: Journal of Computational and Nonlinear Dynamics:;2021:;volume( 016 ):;issue: 005:;page 051006-1
    Author(s): Elinger, Jared; Rogers, Jonathan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The selection of model structure is an important step in system identification for nonlinear systems in cases where the model form is not known a priori. This process, sometimes called covariate selection or sparsity ...
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