Advancing Active Suspension Control With TD3-PSC: Integrating Physical Safety Constraints Into Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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Advancing Active Suspension Control With TD3-PSC: Integrating Physical Safety Constraints Into Deep Reinforcement Learning

Published:2024 Issue: Volume:12 Page:115628-115641
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Deng Mingxing¹,Sun Dongxu¹^ORCID,Zhan Liu¹,Xu Xiaowei¹,Zou Junyi¹^ORCID

Affiliation:

1. College of Automobile and Traffic Engineering, Wuhan University of Science and Technology, Wuhan, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Hubei Provincial Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10638551.pdf?arnumber=10638551

Reference39 articles.

1. Model-Reference Reinforcement Learning for Collision-Free Tracking Control of Autonomous Surface Vehicles

2. Hierarchical Motion Planning and Tracking for Autonomous Vehicles Using Global Heuristic Based Potential Field and Reinforcement Learning Based Predictive Control

3. Barrier Function-Based Adaptive Sliding Mode Control for Application to Vehicle Suspensions

4. Vibration Control Using Semi-Active Force Generators

5. Extended Ground-Hook - New Concept of Semi-Active Control of Truck's Suspension

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