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    Simple Input Disturbance Observer-Based Control: Case Studies 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2018:;volume( 140 ):;issue: 001:;page 14501
    Author(s): Polóni, Tomáš; Kolmanovsky, Ilya; Rohaľ-Ilkiv, Boris
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, the application of an input disturbance observer (IDO)-based control, based on a simple input observer previously proposed and used for engine control, is demonstrated in two case studies. The first case ...
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    Stochastic Predictive Control for Partially Observable Markov Decision Processes With Time-Joint Chance Constraints and Application to Autonomous Vehicle Control 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2019:;volume( 141 ):;issue: 007:;page 71007
    Author(s): Li, Nan; Girard, Anouck; Kolmanovsky, Ilya
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper describes a stochastic predictive control algorithm for partially observable Markov decision processes (POMDPs) with time-joint chance constraints. We first present the algorithm as a general tool to treat finite ...
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    Stochastic Predictive Control for Partially Observable Markov Decision Processes With Time-Joint Chance Constraints and Application to Autonomous Vehicle Control 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2019:;volume( 141 ):;issue: 007:;page 71007
    Author(s): Li, Nan; Girard, Anouck; Kolmanovsky, Ilya
    Publisher: American Society of Mechanical Engineers (ASME)
    Abstract: This paper describes a stochastic predictive control algorithm for partially observable Markov decision processes (POMDPs) with time-joint chance constraints. We first present the algorithm as a general tool to treat finite ...
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    Regret Analysis of Shrinking Horizon Model Predictive Control 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2024:;volume( 147 ):;issue: 002:;page 21007-1
    Author(s): Ambrosino, Michele; Castroviejo-Fernandez, Miguel; Leung, Jordan; Kolmanovsky, Ilya
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper analyzes the suboptimal implementation of shrinking horizon model predictive control (SHMPC) when a fixed number of solver iterations and a warm-start are utilized at each time-step to solve the underlying optimal ...
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    Safe Learning Reference Governor: Theory and Application to Fuel Truck Rollover Avoidance 

    Source: Journal of Autonomous Vehicles and Systems:;2022:;volume( 001 ):;issue: 004:;page 41003
    Author(s): Liu, Kaiwen;Li, Nan;Kolmanovsky, Ilya;Rizzo, Denise;Girard, Anouck
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This paper proposes a learning reference governor (LRG) approach to enforce state and control constraints in systems for which an accurate model is unavailable. This approach enables the reference governor to gradually ...
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    A Multirange Vehicle Speed Prediction With Application to Model Predictive Control-Based Integrated Power and Thermal Management of Connected Hybrid Electric Vehicles 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2021:;volume( 144 ):;issue: 001:;page 11105-1
    Author(s): Hu, Qiuhao; Amini, Mohammad Reza; Wiese, Ashley; Seeds, Julia Buckland; Kolmanovsky, Ilya; Sun, Jing
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Connectivity and automated driving technologies have opened up new research directions in the energy management of vehicles which exploit look-ahead preview and enhance the situational awareness. Despite this advancement, ...
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    DSpace software copyright © 2002-2015  DuraSpace
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