Neural-network-based formation control with collision, obstacle avoidance and connectivity maintenance for a class of second-order nonlinear multi-agent systems-Reference-Cited by-同舟云学术

Neural-network-based formation control with collision, obstacle avoidance and connectivity maintenance for a class of second-order nonlinear multi-agent systems

Published:2021-06 Issue: Volume:439 Page:243-255
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Yang Shun,Bai Weiwei,Li Tieshan,Shi Quan,Yang Yue,Wu Yue,Chen C. L. Philip

Funder

Dalian Science and Technology Innovation Fund

Fundamental Research Funds for the Central Universities

Liaoning Revitalization Talents Program

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference58 articles.

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3. Scaled consensus control of heterogeneous multi-agent systems with switching topologies;Chen;Neurocomputing,2020

4. Finite-time formation control of under-actuated ships using nonlinear sliding mode control;Li;IEEE Transactions on Cybernetics,2018

5. Formation control with obstacle avoidance of second-order multi-agent systems under directed communication topology;Wen;Science China Information Sciences,2019

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