Coordination on Double-Integrator Antagonistic Dynamics Robust to Velocity Constraint-Reference-Cited by-同舟云学术

Coordination on Double-Integrator Antagonistic Dynamics Robust to Velocity Constraint

Published:2023-01 Issue:1 Volume:53 Page:599-609
ISSN:2168-2216
Container-title:IEEE Transactions on Systems, Man, and Cybernetics: Systems
language:
Short-container-title:IEEE Trans. Syst. Man Cybern, Syst.

Author:

Zhang Yan¹,Liu Yang²^ORCID,Qiu Jianlong³^ORCID,Cao Jinde⁴^ORCID

Affiliation:

1. College of Mathematics and Computer Science, Zhejiang Normal University, Jinhua, Chinay

2. Key Laboratory of Intelligent Education Technology and Application of Zhejiang Province, College of Mathematics and Computer Science, Zhejiang Normal University, Jinhua, China

3. School of Automation and Electrical Engineering, Key Laboratory of Complex Systems and Intelligent Computing in Universities of Shandong, Linyi University, Linyi, Shandong, China

4. School of Mathematics and the Jiangsu Provincial Key Laboratory of Networked Collective Intelligence, Southeast University, Nanjing, China

Funder

Zhejiang Provincial Natural Science Foundation of China

National Natural Science Foundation of China

Key Research and Development Project of Shandong Province of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221021/9990977/09817384.pdf?arnumber=9817384

Reference49 articles.

1. On the spectra of nonsymmetric Laplacian matrices

2. Networked multiagent systems: Antagonistic interaction, constraint, and its application;zhang;IEEE Trans Neural Netw Learn Syst,2021

3. Double-Integrator Dynamics for Multiagent Systems With Antagonistic Reciprocity

4. A novel consensus algorithm for second-order multi-agent systems without velocity measurements

5. Distributed coordination for second-order multi-agent systems with nonlinear dynamics using only relative position measurements

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