Multiagent Persistent Monitoring via Time-Inverted Kuramoto Dynamics-Reference-Cited by-同舟云学术

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Multiagent Persistent Monitoring via Time-Inverted Kuramoto Dynamics

Published:2022 Issue: Volume:6 Page:2798-2803
ISSN:2475-1456
Container-title:IEEE Control Systems Letters
language:
Short-container-title:IEEE Control Syst. Lett.

Author:

Boldrer Manuel¹^ORCID,Pasqualetti Fabio²^ORCID,Palopoli Luigi³^ORCID,Fontanelli Daniele¹^ORCID

Affiliation:

1. Department of Industrial Engineering, University of Trento, Trento, Italy

2. Department of Mechanical Engineering, University of California at Riverside, Riverside, CA, USA

3. Department of Information Engineering and Computer Science, University of Trento, Trento, Italy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Control and Optimization,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7782633/9462165/09782681.pdf?arnumber=9782681

Reference16 articles.

1. An Optimal Control Approach to the Multi-Agent Persistent Monitoring Problem in Two-Dimensional Spaces

2. Cooperative Patrolling via Weighted Tours: Performance Analysis and Distributed Algorithms

3. Decentralized controllers for perimeter surveillance with teams of aerial robots

4. Dynamic perimeter surveillance with a team of robots

5. Multi-robot monitoring in dynamic environments with guaranteed currency of observations

Cited by 5 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. Distributed Region Tracking and Perimeter Surveillance for Second-Order Multi-Agent Systems in Star-Shaped Sets;Journal of Systems Science and Complexity;2024-08-30

2. Dynamic Crowd Vetting: Collaborative Detection of Malicious Robots in Dynamic Communication Networks;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13

3. Optimal Persistent Monitoring of Mobile Targets in One Dimension;2023 American Control Conference (ACC);2023-05-31

4. Time-Inverted Kuramoto Model Meets Lissajous Curves: Multi-Robot Persistent Monitoring and Target Detection;IEEE Robotics and Automation Letters;2023-01

5. A unified Lloyd-based framework for multi-agent collective behaviours;Robotics and Autonomous Systems;2022-10

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