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Zhu, Qilun
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Integrated Engine States Estimation Using Extended Kalman Filter and Disturbance Observer

SAE International Journal of Advances and Current Practices in Mobility

  • Journal Article
  • 2019-01-2603
Published 2019-10-22 by SAE International in United States
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A Nonlinear Model Predictive Control Strategy with a Disturbance Observer for Spark Ignition Engines with External EGR

SAE International Journal of Commercial Vehicles

  • Journal Article
  • 2017-01-0608
Published 2017-03-28 by SAE International in United States
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Model-Based Optimal Combustion Phasing Control Strategy for Spark Ignition Engines

SAE International Journal of Engines

  • Journal Article
  • 2016-01-0818
Published 2016-04-05 by SAE International in United States
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A Real-Time Model for Spark Ignition Engine Combustion Phasing Prediction

SAE International Journal of Engines

  • Journal Article
  • 2016-01-0819
Published 2016-04-05 by SAE International in United States
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Model-Based Control-Oriented Combustion Phasing Feedback for Fast CA50 Estimation

SAE International Journal of Engines

  • Journal Article
  • 2015-01-0868
Published 2015-04-14 by SAE International in United States
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Input Adaptation for Control Oriented Physics-Based SI Engine Combustion Models Based on Cylinder Pressure Feedback

SAE International Journal of Engines

  • Journal Article
  • 2015-01-0877
Published 2015-04-14 by SAE International in United States
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Fast Engine Torque Variation Compensation for HEVs Using Permanent Magnet Synchronous Motor and Explicit MPC

Published 2021-04-06 by SAE International in United States
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Quantification of Linear Approximation Error for Model Predictive Control of Spark-Ignited Turbocharged Engines

Published 2019-09-09 by SAE International in United States
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Use of Machine Learning for Real-Time Non-Linear Model Predictive Engine Control

Published 2019-04-02 by SAE International in United States
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Control Optimization of a Charge Sustaining Hybrid Powertrain for Motorsports

Published 2018-04-03 by SAE International in United States
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