Deep Reinforcement Learning-Based Constrained Optimal Reconfiguration Scheme for Integrated Modular Avionics System-Reference-Cited by-同舟云学术

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Deep Reinforcement Learning-Based Constrained Optimal Reconfiguration Scheme for Integrated Modular Avionics System

Published:2023-07-21 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Electrical Engineering and Mechatronics Technology (ICEEMT)
language:
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Author:

Li Daojun¹,Tian Yi²,Zhao Changxiao²,Zou Jie³

Affiliation:

1. Civil Aviation University of China,College of Safety Science and Engineering,Tianjin,China

2. Civil Aviation University of China,Key Laboratory of Civil Aircraft Airworthiness Technology,Tianjin,China

3. Luoyang Institute of Electro-optical Equipment of AVIC,National Key Laboratory of Space Based Information perception and Fusion,Luoyang,China

Funder

Aeronautical Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10262398/10262829/10262951.pdf?arnumber=10262951

Reference10 articles.

1. A Learning Control Method of Automated Vehicle Platoon at Straight Path with DDPG-Based PID

2. Path-Tracking Control Strategy of Unmanned Vehicle Based on DDPG Algorithm

3. Deep Deterministic Policy Gradient (DDPG)-Based Energy Harvesting Wireless Communications

4. Approach for integrated modular avionics reconfig-uration modelling and reliability analysis based on AADL;zhang;IET Software,2016

5. New Model-Based Analysis Method with Multiple Constraints for Integrated Modular Avionics Dynamic Reconfiguration Process

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