All Stories

  1. Hybrid Machine Learning Approaches and a Systematic Model Selection Process for Predicting Soot Emissions in Compression Ignition Engines
  2. Model Predictive Control of Internal Combustion Engines: A Review and Future Directions
  3. A grey-box machine learning based model of an electrochemical gas sensor
  4. Machine Learning-based Diesel Engine-Out NOx Reduction Using a plug-in PD-type Iterative Learning Control
  5. A correlation-based model order reduction approach for a diesel engine NOx and brake mean effective pressure dynamic model using machine learning
  6. Adaptive sliding mode control of a four-wheel-steering autonomous vehicle with uncertainty using parallel orientation and position control
  7. Stability Control of an Autonomous Vehicle in Overtaking Manoeuvre Using Wheel Slip Control
  8. Robotic Manipulator Control Using PD-type Fuzzy Iterative Learning Control
  9. Integral Discrete-time Sliding Mode Control of Homogeneous Charge Compression Ignition (HCCI) Engine Load and Combustion Timing
  10. Path planning and re-planning of lane change manoeuvres in dynamic traffic environments
  11. Lateral control of an autonomous vehicle using integrated backstepping and sliding mode controller
  12. Vehicle lateral control in the presence of uncertainty for lane change maneuver using adaptive sliding mode control with fuzzy boundary layer