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    Hierarchical Iterative Learning Control for a Class of Distributed Hierarchical Systems 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2024:;volume( 146 ):;issue: 003:;page 31002-1
    Author(s): Igram, Spencer; Alleyne, Andrew G.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This work examines a class of distributed linear systems that fit a tree type of hierarchical structure. Therefore, unidirectional information flow from a subsystem higher in the hierarchy impacts subsystems lower in the ...
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    Fault Detection and Isolation for Complex Thermal Management Systems 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2019:;volume( 141 ):;issue: 006:;page 61008
    Author(s): Tannous, Pamela J.; Alleyne, Andrew G.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents a fault detection and isolation (FDI) approach for actuator faults of complex thermal management systems. In the case of safety critical systems, early fault diagnosis not only improves system reliability, ...
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    Robust Design and Evaluation of a Novel Modular Origami-Enabled Mobile Robot (OSCAR) 

    Source: Journal of Mechanisms and Robotics:;2022:;volume( 015 ):;issue: 002:;page 21015
    Author(s): Angatkina, Oyuna;Alleyne, Andrew G.;Wissa, Aimy
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This article presents critical design modifications for an Origami-enabled Soft Crawling Autonomous Robot (OSCAR). OSCAR’s upgraded design mitigates motion uncertainties, which often plague soft robots. More specifically, ...
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    A Novel Framework for Simultaneous Topology and Sizing Optimization of Complex, Multi-Domain Systems-of-Systems 

    Source: Journal of Mechanical Design:;2020:;volume( 142 ):;issue: 009
    Author(s): Docimo, Donald J.; Kang, Ziliang; James, Kai A.; Alleyne, Andrew G.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This article presents a novel design framework for topology and component sizing optimization of multi-domain dynamic systems described by conservation laws. Multidisciplinary design optimization (MDO) is a powerful tool ...
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    Multilevel Hierarchical Estimation for Thermal Management Systems of Electrified Vehicles With Experimental Validation 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2020:;volume( 142 ):;issue: 011:;page 0111004-1
    Author(s): Tannous, Pamela J.; Alleyne, Andrew G.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper presents a multilevel model-based hierarchical estimation framework for complex thermal management systems of electrified vehicles. System dynamics are represented by physics-based lumped parameter models derived ...
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    Closed-Loop Control and Plant Co-Design of a Hybrid Electric Unmanned Air Vehicle 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2023:;volume( 146 ):;issue: 001:;page 11104-1
    Author(s): Aksland, Christopher T.; Clark, Daniel L., Jr.; Lupp, Christopher A.; Alleyne, Andrew G.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Novel conceptual aircraft designs have been enabled by more electrified aircraft components providing enhanced capability and versatility. Through the advancement of multidisciplinary design optimization, control co-design ...
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    Fundamental Limits in Combine Harvester Header Height Control 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2013:;volume( 135 ):;issue: 003:;page 34503
    Author(s): Xie, Yangmin; Alleyne, Andrew G.; Greer, Ashley; Deneault, Dustin
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper investigates fundamental performance limitations in the control of a combine harvester's header height control system. There are two primary subsystem characteristics that influence the achievable bandwidth by ...
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    Plant and Controller Optimization for Power and Energy Systems With Model Predictive Control 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2021:;volume( 143 ):;issue: 008:;page 081009-1
    Author(s): Docimo, Donald J.; Kang, Ziliang; James, Kai A.; Alleyne, Andrew G.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This article explores the optimization of plant characteristics and controller parameters for electrified mobility. Electrification of mobile transportation systems, such as automobiles and aircraft, presents the ability ...
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    Comparative Study of Energy Management Strategies for Hydraulic Hybrids 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2015:;volume( 137 ):;issue: 004:;page 41002
    Author(s): Deppen, Timothy O.; Alleyne, Andrew G.; Meyer, Jonathan J.; Stelson, Kim A.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The sensitivity of energy management strategies (EMS) with respect to variations in drive cycle and system parameters is considered. The design of three strategies is presented: rulebased, stochastic dynamic programming ...
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    Experimental Validation of Graph-Based Hierarchical Control for Thermal Management 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2018:;volume( 140 ):;issue: 010:;page 101016
    Author(s): Pangborn, Herschel C.; Koeln, Justin P.; Williams, Matthew A.; Alleyne, Andrew G.
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper proposes and experimentally validates a hierarchical control framework for fluid flow systems performing thermal management in mobile energy platforms. A graph-based modeling approach derived from the conservation ...
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