The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Motion Coordination with Distributed Information
Abstract
Motion coordination is a remarkable phenomenon in biological systems and an extremely useful tool for groups of vehicles, mobile sensors, and embedded robotic systems. For many applications, teams of mobile autonomous agents need the ability to deploy over a region, assume a specified pattern, rendezvous at a common point, or move in a synchronized manner. The objective of this article is to illustrate the use of systems theory to analyze emergent behaviors in animal groups and to design autonomous and reliable robotic networks. We present and survey some recently developed theoretical tools for modeling, analysis, and design of motion coordination algorithms in both continuous and discrete time. We pay special attention to the distributed character of coordination algorithms, the characterization of their performance, and the development of design methodologies that provide mobile networks with provably correct cooperative strategies.
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Cites
Consensus Problems in Networks of Agents With Switching Topology and Time-Delays
Olfati-Saber, R., & Murray, R. M. (2004) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2004.834113 · Cited by 12,788
Coordination of groups of mobile autonomous agents using nearest neighbor rules
Jadbabaie, A., Lin, J., & Morse, A. S. (2003) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2003.812781 · Cited by 8,339
Differential Equations with Discontinuous Righthand Sides
Filippov, A. F. (1988) · Mathematics and Its Applications · doi:10.1007/978-94-015-7793-9 · Cited by 4,720
Matrix Analysis and Applied Linear Algebra
Meyer, C. (2000) · doi:10.1137/1.9780898719512 · Cited by 3,565
Effective leadership and decision-making in animal groups on the move
Couzin, I. D., Krause, J., Franks, N. R., & Levin, S. A. (2005) · Nature · doi:10.1038/nature03236 · Cited by 2,753
Group decision-making in animals
Conradt, L., & Roper, T. J. (2003) · Nature · doi:10.1038/nature01294 · Cited by 529
Gorillas' Vocalizations During Rest Periods: Signals of Impending Departure?
Stewart, K. J., & Harcourt, A. H. (1994) · Behaviour · doi:10.1163/156853994x00127 · Cited by 137
Boinski, S., & Campbell, A. F. (1995) · Behaviour · doi:10.1163/156853995x00054 · Cited by 98
Cited by
Distributed Control of Robotic Networks: A Mathematical Approach to Motion Coordination Algorithms
Bullo, F., Cortés, J., & Martínez, S. (2009) · Princeton University Press eBooks · doi:10.1515/9781400831470 · Cited by 1,509
Finite-time formation control for multi-agent systems
Xiao, F., Wang, L., Chen, J., & Gao, Y. (2009) · Automatica · doi:10.1016/j.automatica.2009.07.012 · Cited by 934
A network diffusion model of disease progression in dementia
Raj, A., Kuceyeski, A., & Weiner, M. (2012) · Neuron · doi:10.1016/j.neuron.2011.12.040 · Cited by 723
Finite-time distributed consensus via binary control protocols
Chen, G., Lewis, F. L., & Xie, L. (2011) · Automatica · doi:10.1016/j.automatica.2011.05.013 · Cited by 271
Abdelnour, F., Voss, H. U., & Raj, A. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2013.12.039 · Cited by 270
Metadata
- Venue
- IEEE Control Systems
- Published
- 2007-08
- Volume
- 27
- Issue
- 4
- Pages
- 75-88
- ISSN
- 1066-033X (ISSN-L)
- 1941-000X
- OpenAlex
- W2039245308
- Cited by
- 526
- References
- 8
- FWCI
- 48.33
- Type
- journal article
- Language
- en
- Open access
- closed
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