Deep reinforcement learning implementation on IC engine idle speed control

Article Properties
Cite
Omran, Ibrahim, et al. “Deep Reinforcement Learning Implementation on IC Engine Idle Speed Control”. Ain Shams Engineering Journal, vol. 15, no. 5, 2024, p. 102670, https://doi.org/10.1016/j.asej.2024.102670.
Omran, I., Mostafa, A., Seddik, A., Ali, M., Hussein, M., Ahmed, Y., Aly, Y., & Abdelwahab, M. (2024). Deep reinforcement learning implementation on IC engine idle speed control. Ain Shams Engineering Journal, 15(5), 102670. https://doi.org/10.1016/j.asej.2024.102670
Omran I, Mostafa A, Seddik A, Ali M, Hussein M, Ahmed Y, et al. Deep reinforcement learning implementation on IC engine idle speed control. Ain Shams Engineering Journal. 2024;15(5):102670.
Journal Categories
Technology
Engineering (General)
Civil engineering (General)
Technology
Technology (General)
Industrial engineering
Management engineering
Refrences
Title Journal Journal Categories Citations Publication Date
A Review of Reinforcement Learning-Based Powertrain Controllers: Effects of Agent Selection for Mixed-Continuity Control and Reward Formulation

 Energies
  • Technology
  • Technology: Environmental technology. Sanitary engineering
  • Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade
  • Technology: Engineering (General). Civil engineering (General)
 1 2023
Comparison of Deep Reinforcement Learning and PID Controllers for Automatic Cold Shutdown Operation

 Energies
  • Technology
  • Technology: Environmental technology. Sanitary engineering
  • Social Sciences: Industries. Land use. Labor: Special industries and trades: Energy industries. Energy policy. Fuel trade
  • Technology: Engineering (General). Civil engineering (General)
 6 2022
Deep Reinforcement Learning-Based DQN Agent Algorithm for Visual Object Tracking in a Virtual Environmental Simulation

 Applied Sciences
  • Technology: Engineering (General). Civil engineering (General)
  • Science: Biology (General)
  • Science: Physics
  • Science: Chemistry
  • Science: Chemistry: General. Including alchemy
  • Technology: Engineering (General). Civil engineering (General)
  • Science: Chemistry
  • Science: Physics
  • Technology: Technology (General): Industrial engineering. Management engineering
  • Technology: Chemical technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
  • Technology: Engineering (General). Civil engineering (General)
 6 2022
A multi‐objective multi‐agent deep reinforcement learning approach to residential appliance scheduling IET Smart Grid
  • Technology: Electrical engineering. Electronics. Nuclear engineering
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
 9 2022
Potential of Machine Learning Methods for Robust Performance and Efficient Engine Control Development IFAC-PapersOnLine 7 2021