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Keyword

formation control

Description: A control problem in which multiple agents coordinate their motion to achieve or maintain a specified spatial arrangement.
OpenAlex ID: keywords/formation-control
Consensus and Cooperation in Networked Multi-Agent Systems
2007 · Reza Olfati-Saber, J. Alex Fax, et al. · Proceedings of the IEEE · 10,427
Behavior-based formation control for multirobot teams
1998 · T. Balch, R.C. Arkin · IEEE Transactions on Robotics and Automation · 3,112
Graph Theoretic Methods in Multiagent Networks
2010 · Mehran Mesbahi, Magnus Egerstedt · Princeton University Press eBooks · 2,900
An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination
2012 · Yongcan Cao, Wenwu Yu, et al. · IEEE Transactions on Industrial Informatics · 2,398
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Modeling and control of formations of nonholonomic mobile robots
2001 · J.P. Desai, J.P. Ostrowski, et al. · IEEE Transactions on Robotics and Automation · 1,159
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A vision-based formation control framework
2002 · A.K. Das, R. Fierro, et al. · IEEE Transactions on Robotics and Automation · 1,148
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High Precision Formation Control of Mobile Robots Using Virtual Structures
1997 · M. Anthony Lewis, Kar-Han Tan · Autonomous Robots · 1,082
A decentralized approach to formation maneuvers
2003 · J.R.T. Lawton, R.W. Beard, et al. · IEEE Transactions on Robotics and Automation · 1,061
Necessary and sufficient graphical conditions for formation control of unicycles
2005 · Zhiyun Lin, B. Francis, et al. · IEEE Transactions on Automatic Control · 1,041
Recent Research in Cooperative Control of Multivehicle Systems
2007 · Richard M. Murray · Journal of Dynamic Systems Measurement and Control · 961
Consensus strategies for cooperative control of vehicle formations
2007 · W. Ren · IET Control Theory and Applications · 931
Distributed Coordination Control of Multiagent Systems While Preserving Connectedness
2007 · Meng Ji, Magnus Egerstedt · IEEE Transactions on Robotics · 880
Distributed Consensus in Multi-vehicle Cooperative Control: Theory and Applications
2007 · Wei Ren, Randal W. Beard · 874
Decentralized Scheme for Spacecraft Formation Flying via the Virtual Structure Approach
2004 · Wei Ren, Randal W. Beard · Journal of Guidance Control and Dynamics · 739
Stable flocking of mobile agents. I. Fixed topology
2004 · H.G. Tanner, A. Jadbabaie, et al. · 673
Decentralized Robust Adaptive Control for the Multiagent System Consensus Problem Using Neural Networks
2009 · Zeng-Guang Hou, Long Cheng, et al. · IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) · 668
Rigid graph control architectures for autonomous formations
2008 · Brian D.O. Anderson, Changbin Yu, et al. · IEEE Control Systems · 636
Stabilisation of infinitesimally rigid formations of multi-robot networks
2008 · Laura Krick, Mireille E. Broucke, et al. · International Journal of Control · 551
Adaptive Dynamic Surface Control for Formations of Autonomous Surface Vehicles With Uncertain Dynamics
2012 · Zhouhua Peng, Dan Wang, et al. · IEEE Transactions on Control Systems Technology · 520
Distributed adaptive control for consensus tracking with application to formation control of nonholonomic mobile robots
2014 · Wei Wang, Jiangshuai Huang, et al. · Automatica · 516
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Decentralized overlapping control of a formation of unmanned aerial vehicles
2004 · Dušan M. Stipanović, Gökhan İnalhan, et al. · Automatica · 489
Multi-AUV Control and Adaptive Sampling in Monterey Bay
2006 · Edward Fiorelli, Naomi Ehrich Leonard, et al. · IEEE Journal of Oceanic Engineering · 488
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Consensus in multi-agent systems: a review
2021 · Abdollah Amirkhani, Amir Hossein Barshooi · Artificial Intelligence Review · 478
A Survey on the Convergence of Edge Computing and AI for UAVs: Opportunities and Challenges
2022 · Patrick McEnroe, Shen Wang, et al. · IEEE Internet of Things Journal · 477
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A Survey of Autonomous Underwater Vehicle Formation: Performance, Formation Control, and Communication Capability
2021 · Yue Yang, Yang Xiao, et al. · IEEE Communications Surveys & Tutorials · 472
Works count: 8,651
Citation count: 148,800
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