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Model-free reinforcement learning approach to optimal speed control of combustion engines in start-up mode

  • Published:2021-06 Issue: Volume:111 Page:104791
  • ISSN:0967-0661
  • Container-title:Control Engineering Practice
  • language:en
  • Short-container-title:Control Engineering Practice

Author:

Xu Zhenhui,Pan Linjun,Shen Tielong

Funder

Japan Society for the Promotion of Science

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Reference46 articles.

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Neural network-based self-tuning control for hybrid electric vehicle engines;Engineering Applications of Artificial Intelligence;2024-12

2. Interactive decision-making for autonomous vehicles: A layered game-theoretic framework with situational awareness;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2024-07-23

3. Enhancing Robotic Autonomy and Deep Reinforcement Learning Applications;Advances in Logistics, Operations, and Management Science;2024-06-28

4. Optimizing Speed Control Guidance at Urban Signalized Intersections: A Driving Simulator Study on Driver Behavior and Sociodemographic Factors;International Conference on Transportation and Development 2024;2024-06-13

5. Deep reinforcement learning implementation on IC engine idle speed control;Ain Shams Engineering Journal;2024-05
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