Optimal and Cooperative Control of Vehicle Formations

By J. Alexander Fax. 2002

164 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Control and Systems Engineering, Geometry and Topology

View Paper: https://www.semanticscholar.org/paper/4e59a4d3e46aca76a67da6579710dfb4662404dc

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. Wei Ren
2. Ming Cao
3. Guanrong Chen
4. Long Wang
5. Yongcan Cao
6. B.D.O. Anderson
7. Richard M. Murray
8. A. Stephen Morse

In Control and Systems Engineering

1. Richard M. Murray
2. Michel Verhaegen
3. Paolo Massioni
4. J. Alexander Fax
5. IV JohnS.Caughman
6. J. J. Peter Veerman
7. Alan Williams
8. Gerardo Lafferriere

In Geometry and Topology

1. Richard M. Murray
2. Michel Verhaegen
3. Paolo Massioni
4. A. Stephen Morse
5. Claire Jennifer Tomlin
6. B.D.O. Anderson
7. J. Alexander Fax
8. Dimos V. Dimarogonas

Citations in the corpus

• Consensus and Cooperation in Networked Multi-Agent Systems (2007, unknown): “In this paper, we focus on the work described in five key papers—namely, Jadbabaie, Lin, and Morse [38], Olfati-Saber and Murray [70], Fax and Murray [28], Moreau [59], and Ren and Beard [74]— that have been instrumental in paving the way for more recent advances in study of self-organizing networked”
• Agreeing Asynchronously (2008, background): “Additionally, some readers may find [16] relevant to the problem at hand.”
• Conjugate Points in Formation Constrained Optimal Multi-Agent Coordination: A Case Study (2007, background): “, [8], [9], [10], for relevant works on the problems of stable and optimal coordinated control of vehicle formations.”
• Decentralized control of vehicle formations (2005, background): “The notion of a communication digraph is introduced in[4], and an averaging feedback law is proposed based on the flow of information.”
• Distributed Control for Identical Dynamically Coupled Systems: A Decomposition Approach (2009, background): “Let us consider a swarm of satellites orbiting around a planet on a circular orbit (a similar example is shown in [12]).”
• Information flow and cooperative control of vehicle formations (2004, methodology): “Additionally, the theorem is equally applicable when the inputs are driven not to zero, but to some internally consistent set of offsets [13].”