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On the convergence of a class of estimation of distribution algorithms

โœ Scribed by Qingfu Zhang; Muhlenbein, H.


Book ID
117914592
Publisher
IEEE
Year
2004
Tongue
English
Weight
240 KB
Volume
8
Category
Article
ISSN
1089-778X

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Sufficient conditions for the convergenc
โœ Amir Ajorlou; Ahmadreza Momeni; Amir G. Aghdam ๐Ÿ“‚ Article ๐Ÿ“… 2011 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 271 KB

This paper is concerned with the convergence of a class of continuous-time nonlinear consensus algorithms for single integrator agents. In the consensus algorithms studied here, the control input of each agent is assumed to be a state-dependent combination of the relative positions of its neighbors