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    Perturbation Theory Based Robust Design Under Model Uncertainty 

    Source: Journal of Mechanical Design:;2009:;volume( 131 ):;issue: 011:;page 111006
    Author(s): XinJiang Lu; Han-Xiong Li
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In real-world applications, a nominal model is usually used to approximate the practical system for design and control. This approximation may make the traditional robust design less effective ...
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    Stability Based Robust Eigenvalue Design for Tolerance 

    Source: Journal of Mechanical Design:;2009:;volume( 131 ):;issue: 008:;page 81007
    Author(s): XinJiang Lu; Han-Xiong Li
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A novel integrated approach is developed to design systems for stability and robustness. First, design parameters with large variation bounds are chosen to maintain system stability. Then, a ...
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    Robust Design for Dynamic System Under Model Uncertainty 

    Source: Journal of Mechanical Design:;2011:;volume( 133 ):;issue: 002:;page 21006
    Author(s): XinJiang Lu; Han-Xiong Li
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In real-world applications, a nominal model is often used to approximate the design of an industrial system. This approximation could make the traditional design method less effective due to ...
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    Variable Sensitivity-Based Deterministic Robust Design for Nonlinear System 

    Source: Journal of Mechanical Design:;2010:;volume( 132 ):;issue: 006:;page 64502
    Author(s): XinJiang Lu; Han-Xiong Li; C. L. Philip Chen
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, a novel robust design approach is proposed to design the robustness of the nonlinear system under large uncontrollable variation. First, a variable sensitivity approach is proposed ...
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    Model-Based Probabilistic Robust Design With Data-Based Uncertainty Compensation for Partially Unknown System 

    Source: Journal of Mechanical Design:;2012:;volume( 134 ):;issue: 002:;page 21004
    Author(s): XinJiang Lu; Han-Xiong Li; C. L. Philip Chen
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Model uncertainty often results from incomplete system knowledge or simplification made at the design stage. In this paper, a hybrid model/data-based probabilistic design approach is proposed to ...
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