Decentralized Scheme for Spacecraft Formation Flying via the Virtual Structure Approach
553 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Networks and Communications, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/ffcac6adb4b650831e8360e4ca196a53d661ba82
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
- Wei Ren
- Richard M. Murray
- William B. Dunbar
- IV JohnS.Caughman
- J. J. Peter Veerman
- Alan Williams
- Gerardo Lafferriere
- Wei Ren
In Computer Networks and Communications
In Ocean Engineering
- Wei Ren
- IV JohnS.Caughman
- J. J. Peter Veerman
- Alan Williams
- Gerardo Lafferriere
- Baris Fidan
- Richard M. Murray
- Wei Ren
Citations in the corpus
- Multi-Agent Coordination by Decentralized Estimation and Control (2008, background): “In addition, formation control is one of the most-studied problems in decentralized control [1], [9], [11], [18]–[21], [24], [25], [29], [35], [36], [43], [44].”
- Consensus strategies for cooperative control of vehicle formations (2007, background): “The decentralised virtual structure approach [18] corresponds to the case that consensus is reached on each instantiation of the virtual structure states and the information flow forms a bidirectional ring topology.”
- Consensus Tracking Under Directed Interaction Topologies: Algorithms and Experiments (2008, methodology): “Consensus-type techniques have been used to solve formation control problems in [2]–[7], to name a few.”
- A Survey of Autonomous Underwater Vehicle Formation: Performance, Formation Control, and Communication Capability (2021, background): “AUVs in a virtual structure strategy maintain a geometric shape with fixed relative ranges and bearing [103].”
- Decentralized Robust Adaptive Control for the Multiagent System Consensus Problem Using Neural Networks (2009, background): “Successful applications can be found in diverse areas, including the coordination of unmanned aerial vehicles [1], flocking [2], formation control of multiple autonomous robots [3], and information fusion of distributed sensor networks [4].”
- Decentralized control of vehicle formations (2005, methodology): “These include the coordinated control of mini-satellites, drone planes, and underwater vehicles [5, 6, 8, 10, 11, 12, 13, 14, 21, 23, 24, 25, 26, 29].”
- Distributed receding horizon control for multi-vehicle formation stabilization (2006, background): “[14], Dunbar and Murray [7], Ren and Beard [15], and Leonard and Fiorelli [10].”
- Distributed attitude alignment in spacecraft formation flying (2007, background): “As a comparison, in the behavioural approach [7, 8], the control torque for each spacecraft is a function of the attitudes and angular velocities of two adjacent neighbours.”
- Control of Minimally Persistent Formations in the Plane (2009, background): “Exactly how motion is achieved in a stable way is an issue of great interest, and recent papers have tended to focus more on the control laws required [11, 12, 13, 14, 15, 16].”