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    Experimental Validation of a Predictive Control Co-Design Algorithm 

    Source: ASME Letters in Dynamic Systems and Control:;2025:;volume( 005 ):;issue: 003:;page 31001-1
    Author(s): Nash, Austin L.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Control co-design (CCD) represents a promising solution for coordinating the physical design and control of dynamic engineering systems as technological demands become more stringent. Predictive control co-design (pCCD), ...
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    Predictive Control Co-Design: A Single-Level Optimization Framework for Computationally-Efficient Approximation of Recursive Model Predictive Control in Control Co-Design 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2024:;volume( 146 ):;issue: 004:;page 41002-1
    Author(s): Nash, Austin L.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Control co-design (CCD) offers a promising solution for coordinating plant and control design of complex systems to better meet next generation demands. Most CCD algorithms optimize open-loop control signals that solve the ...
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    Model Predictive Tracking Control With Parameter Estimation for Spin-Stabilized Indirect Fire Symmetric Projectiles 

    Source: ASME Letters in Dynamic Systems and Control:;2022:;volume( 002 ):;issue: 003:;page 31010
    Author(s): Nash, Austin L.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Impact point prediction, estimation, and control is a critical component of many smart weapons applications. In this work, I propose a method for estimating and controlling impact points of indirect fire launches for a ...
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