Formal Modelling of the Multiple Trains Following Operation in Uncertain Environments-Reference-Cited by-同舟云学术

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Formal Modelling of the Multiple Trains Following Operation in Uncertain Environments

Published:2023-11-17 Issue: Volume:63 Page:450-457
ISSN:
Container-title:2023 18th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)
language:
Short-container-title:

Author:

Wang Xia¹,Xu Yang²,Liu Jun³,Wu Guanfeng²,Chen Shuwei²

Affiliation:

1. School of Computing and Artificial Intelligence, Southwest Jiaotong University National- Local Joint Engineering Laboratory of System Credibility Automatic Verification,Chengdu,China

2. School of Mathematics, Southwest Jiaotong University National- Local Joint Engineering Laboratory of System Credibility Automatic Verification,Chengdu,China

3. School of Computing, Ulster University,Northern Ireland,BT37 0QB

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10480909/10480924/10481339.pdf?arnumber=10481339

Reference26 articles.

1. A Dataset Schema for Cooperative Learning from Demonstration in Multi-robot Systems

2. Real-time Railway Transit Management Based on Multi-Agent System (MAS)

3. Multi-agent system and reinforcement learning approach for distributed intelligence in a flexible smart manufacturing system

4. Formal methods and tools for industrial critical systems

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