An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination

@article{Cao2013AnOO,
  title={An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination},
  author={Yongcan Cao and Wenwu Yu and Wei Ren and Guanrong Chen},
  journal={IEEE Transactions on Industrial Informatics},
  year={2013},
  volume={9},
  pages={427-438}
}
This paper reviews some main results and progress in distributed multi-agent coordination, focusing on papers published in major control systems and robotics journals since 2006. Distributed coordination of multiple vehicles, including unmanned aerial vehicles, unmanned ground vehicles, and unmanned underwater vehicles, has been a very active research subject studied extensively by the systems and control community. The recent results in this area are categorized into several directions, such… 
An overview of distributed high-order multi-agent coordination
TLDR
This paper reviews the major results and progress in distributed high-order multi-agent coordination and proposes several promising research directions along with some open problems that are deemed important for further investigations.
An overview of consensus problems in constrained multi-agent coordination
TLDR
A survey of recent research in consensus problems for constrained multi-agent coordination, focusing on theoretical directions of multi- agent systems paying particular attention from the system dynamics and control algorithms perspective, and some remarks on the practical direction of consensus problems developed for constraint-based coordination.
Recent Advances in Consensus of Multi-Agent Systems: A Brief Survey
TLDR
Focusing on different kinds of constraints on the controller and the self-dynamics of each individual agent, as well as the coordination schemes, the recent results are categorized into consensus with constraints, event-based consensus, consensus over signed networks, and consensus of heterogeneous agents.
A brief survey of recent advances in consensus of sampled-data multi-agent systems
  • Xiaohua Ge, Q. Han
  • Computer Science, Mathematics
    IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society
  • 2016
TLDR
Some typical patterns of event-triggering conditions are reviewed based on different definitions of a transmission error and a threshold for event-triggered consensus in a sampled-data setting.
A survey on optimal consensus of multi-agent systems
TLDR
This paper detailedly addresses the design schemes of optimal consensus protocols by reviewing several typical literatures and the difficulties and challenges for solving distributed optimal consensus to multi-agent systems are pointed out.
A Survey on Intelligent Control for Multiagent Systems
  • P. Shi, Bing Yan
  • Engineering
    IEEE Transactions on Systems, Man, and Cybernetics: Systems
  • 2021
TLDR
A review is conducted on the recent development of MASs intended for intelligent control, including consensus problem, formation control, and flocking control, based on the limitations of the interaction level and the constraints of the individual system level.
An Overview of Cooperative and Consensus Control of Multiagent Systems
TLDR
This article overviews recent results and progress made on multiagent consensus by focusing on cooperative control and consensus (formation) control in the presence of communication, control implementation, and saturation constraints.
Optimal filtering in multi-agent robots using leader-follower formation
TLDR
This paper addresses the issue of designing finite impulse response (FIR) filters, using ℋ2 andℋ∞ norm optimization, to minimize the effects of network time-delays, which usually occur in networked systems.
Overview: Collective Control of Multiagent Systems
TLDR
Within this framework, the development on this topic is systematically reviewed and the representative outcomes can be sorted out from four aspects: 1) agent dynamics; 2) network topologies; 3) feedback and communication mechanisms; 4) collective behaviors.
...
...

References

SHOWING 1-10 OF 487 REFERENCES
Cooperative Control of Distributed Multi-Agent Systems
TLDR
This volume, the result of a UCLA collaborative project with Caltech, Cornell and MIT, presents cutting edge results in terms of the dimensions of cooperative control from leading researchers worldwide, allowing the reader to assess the multi-faceted landscape of Cooperative Control.
Finite-time formation control for multi-agent systems
Distributed Consensus in Multi-vehicle Cooperative Control - Theory and Applications
TLDR
Academic control systems researchers and their counterparts in government laboratories and robotics- and aerospace-related industries will find the ideas presented in Distributed Consensus in Multi-vehicle Cooperative Control of great interest.
Multi-UAV Cooperative Search Using an Opportunistic Learning Method
TLDR
This paper addresses a cooperative search problem and develops a decentralized strategy based on an opportunistic cooperative learning method, where the emergent coordination among vehicles is enabled by letting each vehicle consider other vehicles' actions in its path planning procedure.
Experimental Validation of Consensus Algorithms for Multivehicle Cooperative Control
TLDR
The experimental results show the effectiveness and robustness of the consensus algorithms even in the presence of platform physical limitations, packet loss, information delay, etc.
Distributed learning and cooperative control for multi-agent systems
Multi-Agent Coordination by Decentralized Estimation and Control
TLDR
A framework for the design of collective behaviors for groups of identical mobile agents based on decentralized simultaneous estimation and control is described, which derives conditions which guarantee that the formation statistics are driven to desired values, even in the presence of a changing network topology.
Decentralized redistribution for cooperative patrol
This paper addresses the problem of enabling a group of autonomous vehicles to effectively patrol an environment significantly larger than their communication and sensing radii. Our formulation uses
...
...