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    Convergence Properties of a Computational Learning Model for Unknown Markov Chains 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2009:;volume( 131 ):;issue: 004:;page 41011
    Author(s): Andreas A. Malikopoulos
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The increasing complexity of engineering systems has motivated continuing research on computational learning methods toward making autonomous intelligent systems that can learn how to improve their ...
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    Real-Time Self-Learning Optimization of Diesel Engine Calibration 

    Source: Journal of Engineering for Gas Turbines and Power:;2009:;volume( 131 ):;issue: 002:;page 22803
    Author(s): Andreas A. Malikopoulos; Dennis N. Assanis; Panos Y. Papalambros
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Compression ignition engine technologies have been advanced in the past decade to provide superior fuel economy and high performance. These technologies offer increased opportunities for optimizing ...
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    A Real-Time Computational Learning Model for Sequential Decision-Making Problems Under Uncertainty 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2009:;volume( 131 ):;issue: 004:;page 41010
    Author(s): Andreas A. Malikopoulos; Panos Y. Papalambros; Dennis N. Assanis
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Modeling dynamic systems incurring stochastic disturbances for deriving a control policy is a ubiquitous task in engineering. However, in some instances obtaining a model of a system may be ...
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    Online Identification and Stochastic Control for Autonomous Internal Combustion Engines 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2010:;volume( 132 ):;issue: 002:;page 24504
    Author(s): Andreas A. Malikopoulos; Panos Y. Papalambros; Dennis N. Assanis
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Advanced internal combustion engine technologies have afforded an increase in the number of controllable variables and the ability to optimize engine operation. Values for these variables are ...
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