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    ARCO-BO: Adaptive Resource-Aware COllaborative Bayesian Optimization for Heterogeneous Multi-Agent Design Optimization 

    Source: Journal of Mechanical Design:;2026:;volume( 148 ):;issue:009:;page 409
    Author(s): Wang, Zihan; Chen, Yi-Ping; Dolar, Tuba; Chen, Wei
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Abstract. Many real-world optimization problems in scientific discovery and engineering design optimization involve multiple design evaluation sources, such as simulators, experiments, or manufacturing sites, operate ...
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    Unknown Parameter Excitation and Estimation for Complex Systems With Dynamic Performances 

    Source: Journal of Mechanical Design:;2021:;volume( 143 ):;issue: 009:;page 091704-1
    Author(s): Chen, Yi-Ping; Chan, Kuei-Yuan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Simulation models play crucial roles in efficient product development cycles, therefore many studies aim to improve the confidence of a model during the validation stage. In this research, we proposed a dynamic model ...
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    Uncertainty-Aware Digital Twins: Robust Model Predictive Control Using Time-Series Deep Quantile Learning 

    Source: Journal of Mechanical Design:;2026:;volume( 148 ):;issue:002
    Author(s): Chen, Yi-Ping; Tsai, Ying-Kuan; Karkaria, Vispi; Chen, Wei
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Abstract. Digital twins, virtual replicas of physical systems that enable real-time monitoring, model updates, predictions, and decision-making, present novel avenues for proactive control strategies for autonomous systems. ...
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