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Consensus Optimization on Manifolds

Open access
Sarlette, Alain, Sepulchre, Rodolphe·2009·SIAM Journal on Control and Optimization

Abstract

The present paper considers distributed consensus algorithms that involve N agents evolving on a connected compact homogeneous manifold. The agents track no external reference and communicate their relative state according to a communication graph. The consensus problem is formulated in terms of the extrema of a cost function. This leads to efficient gradient algorithms to synchronize (i.e., maximizing the consensus) or balance (i.e., minimizing the consensus) the agents; a convenient adaptation of the gradient algorithms is used when the communication graph is directed and time-varying. The cost function is linked to a specific centroid definition on manifolds, introduced here as the induced arithmetic mean, that is easily computable in closed form and may be of independent interest for a number of manifolds. The special orthogonal group $SO(n)$ and the Grassmann manifold $\text{{\it Grass\/}}(p,n)$ are treated as original examples. A link is also drawn with the many existing results on the circle.

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Metadata

Authors
Sarlette, A., & Sepulchre, R.
Venue
SIAM Journal on Control and Optimization
Published
2009-01
Volume
48
Issue
1
Pages
56-76
ISSN
  • 0363-0129 (ISSN-L)
  • 1095-7138
OpenAlex
W1990304174
Cited by
270
References
29
FWCI
20.47
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Consensus Optimization on Manifolds. https://app.cochat.ai/papers/10.1137/060673400
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Sarlette, A., & Sepulchre, R. (2009). Consensus Optimization on Manifolds. SIAM Journal on Control and Optimization. https://doi.org/10.1137/060673400

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