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    Neural Network Based, Discrete Adaptive Sliding Mode Control for Idle Speed Regulation in IC Engines 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2000:;volume( 122 ):;issue: 002:;page 269
    Author(s): Xiaoqiu Li; Stephen Yurkovich
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: An adaptive sliding mode control design method is proposed for discrete nonlinear systems where explicit knowledge of the system dynamics is not available. Three-layer feedforward neural networks ...
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    A Model-Based Methodology for Real-Time Estimation of Diesel Engine Cylinder Pressure 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2011:;volume( 133 ):;issue: 003:;page 31005
    Author(s): Ahmed Al-Durra; Marcello Canova; Stephen Yurkovich
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Cylinder pressure is one of the most important parameters characterizing the combustion process in an internal combustion engine. The recent developments in engine control technologies suggest the ...
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    A Model Based Estimator for Cylinder Specific Air-to-Fuel Ratio Corrections 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2011:;volume( 133 ):;issue: 003:;page 31001
    Author(s): Jason A. Meyer; Stephen Yurkovich; Shawn Midlam-Mohler
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: One of the most overlooked and oversimplified components of an engine model used for model based air-to-fuel ratio (AFR) control and/or diagnostics is the exhaust gas dynamics model. Without a ...
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