A survey of multi-agent formation control

By Kwang‐Kyo Oh, Myoung-Chul Park, Hyo-Sung Ahn. 2015

2,284 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Ocean Engineering

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Qing-Long Han
2. Xiaohua Ge
3. Amir Hossein Barshooi
4. Abdollah Amirkhani
5. Xiwang Dong
6. Tingwen Huang
7. Yan Zhou
8. Zhang Ren

In Ocean Engineering

1. Qing-Long Han
2. Xiwang Dong

Citations in the corpus

• Action Semantics Network: Considering the Effects of Actions in Multiagent Systems (2019, background): “Recently, a number of deep multiagent reinforcement learning (MARL) approaches have been proposed to address complex multiagent problems, e.g., coordination of robot swarm systems (Sosic et al., 2017) and autonomous cars (Oh et al., 2015).”
• Consensus in multi-agent systems: a review (2021, background): “These subjects include the geometric shape of formation, formation reconfiguration, formation follow up, and also determining the duties of each agent within the formation (Oh et al. 2015).”
• Time-Varying Formation Tracking for Linear Multiagent Systems With Multiple Leaders (2017, background): “, [3]–[7] and the references therein) provide a source of inspiration for formation control [8].”
• Time-Varying Formation Tracking for Second-Order Multi-Agent Systems Subjected to Switching Topologies With Application to Quadrotor Formation Flying (2017, background): “, [5]), formation control has been a research topic for more than twenty years in the scientific community, and several classic formation control strategies which include leader-follower, virtual structure and behavior based ones have been proposed [6]–[11].”
• Time‐varying group formation analysis and design for general linear multi‐agent systems with directed topologies (2016, background): “In the past decade, several centralized or decentralized strategies have been proposed to drive the states of all the agents in the multi-agent system to converge to the desired formation asymptotically [7].”
• Distributed Formation Control of Networked Multi-Agent Systems Using a Dynamic Event-Triggered Communication Mechanism (2017, background): “More re-sults on formation control can be found in the survey paper [17].”
• Event-Triggered Fuzzy Bipartite Tracking Control for Network Systems Based on Distributed Reduced-Order Observers (2021, background): “INTRODUCTION DURING the past decades, the studies of multiagent systems (MASs) that consist of a group of agents using the local information have attracted much attention due to its wide range of applications including engineering systems [1], natural networks [2], biological communities [3], etc.”
• Affine Formation Maneuver Control of Multiagent Systems (2018, background): “Since the successful application of the consensus theory in formation control [5], [6], tremendous research efforts have been devoted to developing convergence-guaranteed formation con-trol approaches (see [7] and [8] for recent surveys).”
• A Survey of Autonomous Underwater Vehicle Formation: Performance, Formation Control, and Communication Capability (2021, background): “Furthermore, there are some surveys of multi-agents mainly focusing on control techniques while multi-agent can refer to multiple robots, vessels, or flights without a specific environment [27], [28], [29].”
• Collaborative Multi-Robot Search and Rescue: Planning, Coordination, Perception, and Active Vision (2020, background): “…formation control algorithms for multi-agent systems can be roughly classified in three categories from the point of view of the variables that are measured and actively controlled by each of the agents: position-based control, displacement-based control, and distance or bearing-based control [164].”