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    Design of Approximate Explicit Model Predictive Controller Using Parametric Optimization 

    Source: Journal of Mechanical Design:;2022:;volume( 144 ):;issue: 012:;page 124501
    Author(s): Tsai, YingKuan;Malak, Richard J., Jr.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper introduces a new technique, called stateparameterized nonlinear programming control (spNLPC), for designing a feedback controller that can stabilize intrinsically unstable nonlinear dynamical systems using ...
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    Efficient Parametric Optimization for Expensive Single Objective Problems 

    Source: Journal of Mechanical Design:;2021:;volume( 143 ):;issue: 003:;page 031711-1
    Author(s): Weaver-Rosen, Jonathan M.; Malak, Richard J., Jr.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Parametric optimization solves optimization problems as a function of uncontrollable or unknown parameters. Such an approach allows an engineer to gather more information than traditional optimization procedures during ...
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    An Algorithm for Multi-Objective Efficient Parametric Optimization 

    Source: Journal of Mechanical Design:;2023:;volume( 145 ):;issue: 003:;page 31709-1
    Author(s): Weaver-Rosen, Jonathan M.; Malak, Richard J., , Jr.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Parametric optimization is the process of solving an optimization problem as a function of currently unknown or changing variables known as parameters. Parametric optimization methods have been shown to benefit engineering ...
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