articleTop 1% cited
Emergent Behavior in Flocks
IEEE Transactions on Automatic Control · 2007 · Vol. 52(5) · pp. 852–862
Felipe Cucker✉(City University of Hong Kong)Steve Smale(Toyota Technological Institute at Chicago)
Abstract
We provide a model (for both continuous and discrete time) describing the evolution of a flock. Our model is parameterized by a constant beta capturing the rate of decay-which in our model is polynomial-of the influence between birds in the flock as they separate in space. Our main result shows that when beta<1/2 convergence of the flock to a common velocity is guaranteed, while for betages1/2 convergence is guaranteed under some condition on the initial positions and velocities of the birds only
Distributed Control Multi-Agent SystemsDiffusion and Search DynamicsGene Regulatory Network AnalysisFlockConvergence (economics)Parameterized complexityPolynomialMathematicsRate of convergenceConstant (computer programming)Control theory (sociology)Applied mathematicsComputer science
Funding
- National Science Foundation
- City University of Hong Kong
Citations
1,772
FWCI
42.98
field-weighted impact
References
17
Percentile
100%
vs. same field & year
Citations per year
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References
Novel Type of Phase Transition in a System of Self-Driven Particles
Physical Review Letters · 1995 · 7,265 citations
Flocking for Multi-Agent Dynamic Systems: Algorithms and Theory
IEEE Transactions on Automatic Control · 2006 · 4,943 citations
Distributed asynchronous deterministic and stochastic gradient optimization algorithms
IEEE Transactions on Automatic Control · 1986 · 2,013 citations
Coordination of groups of mobile autonomous agents using nearest neighbor rules
IEEE Transactions on Automatic Control · 2003 · 8,369 citations
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