Information flow and cooperative control of vehicle formations

By J. Alexander Fax, Richard M. Murray. 2004

4,741 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Management Science and Operations Research

How researchers see this paper

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

In Control and Systems Engineering

1. Wei Ren
2. Guanrong Chen
3. Frank L. Lewis
4. Yongcan Cao
5. Wenwu Yu
6. Z. Duan
7. Shaocheng Tong
8. Zhongkui Li

In Management Science and Operations Research

1. Wei Ren
2. Reza Olfati-Saber
3. Long Wang
4. Yongcan Cao
5. Guanrong Chen
6. Wenjie Dong
7. Frank L. Lewis
8. Feng Xiao

Citations in the corpus

• Lyapunov-Based Approach to Multiagent Systems With Switching Jointly Connected Interconnection (2007, background): “With applications in different disciplines including physics, ecology, and engineering [1], [2], [7], [11]–[13], [15], the dynamics and control of multiagent systems have been studied in order to achieve a cooperative goal with decentralized control laws or neighbor-based rules.”
• Distributed LQR Design for Identical Dynamically Decoupled Systems (2008, background): “Research efforts in this area are epitomized by the pioneering work of [5], which provided stability analysis tools for an interconnection of identical linear dynamical systems each using the same control law that operates on the average information obtained from neighbors.”
• Distributed Coordination Control of Multiagent Systems While Preserving Connectedness (2007, background): “Digital Object Identifier 10.1109/TRO.2007.900638 t. Variations in this protocol consist mainly of different weight factors ki and αij .”
• On H ∞ and H 2 performance regions of multi-agent systems ✩ (2011, methodology): “Contrary to the distributed controllers proposed in Borrelli and Keviczky (2008), Fax and Murray (2004), Gupta et al. (2005) andMassioni and Verhaegen (2009), where state feedbacks are required in the controllers to all the agents, controller (2) needs only a subset of agents to know their own…”
• Distributed coordination architecture for multi-robot formation control (2008, methodology): “, [2–17]).”
• On the general consensus protocol of multi-agent systems with double-integrator dynamics (2009, background): “The consensus problem of networked multi-agent systems has attracted great attention of re10 searchers in the control community, becauseof broad applications of cooperative control [1], formation 11 control [2–4], flocking [5,6] and so on.”
• Decentralized control of vehicle formations (2005, methodology): “A natural way to combine the relative information (as done in[5]) is to define output functions yi computed from an average of the relative displacements (and velocities) of the neighboring vehicles as follows:”
• Distributed Cooperative Optimal Control for Multiagent Systems on Directed Graphs: An Inverse Optimal Approach (2015, background): “, vehicle formations [1], flocking of groups of mobile autonomous agents [2], and obtained fruitful results [3]–[26].”
• Leaderless and Leader-Following Consensus With Communication and Input Delays Under a Directed Network Topology (2011, background): “Cooperative control has broad applications in formation control [1], flocking [2], and complex networks [3], [4].”
• Decentralized finite-time sliding mode estimators and their applications in decentralized finite-time formation tracking (2010, background): “Recently, decentralized multi-vehicle cooperative control, including consensus [1] [2] [3] [4] [5] [6] [7], formation control [8] [9] [10] [11] [12], and flocking [13] [14] [15] [16], has drawn significant research attention in the control society.”