Asymptotic optimality for consensus-type stochastic approximation algorithms using iterate averaging

DOI10.1007/s11768-013-2013-2zbMath1289.93164OpenAlexW2035028603MaRDI QIDQ5399296

Gang Yin, Raymond W. Holsapple, Yu Sun, Derek B. Kingston, David Wellman Casbeer, L. Y. Wang

Publication date: 28 February 2014

Published in: Journal of Control Theory and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11768-013-2013-2

zbMATH Keywords

asymptotic optimalityconsensusstochastic approximation algorithmiterate averaging

Mathematics Subject Classification ID

Related Items (4)

Network robustness depth and topology management of networked dynamic systems ⋮ Convergence rates of discrete-time stochastic approximation consensus algorithms: graph-related limit bounds ⋮ Information and complexity in control systems: A tutorial ⋮ Weighted and Constrained Consensus for Distributed Power Dispatch of Scalable Microgrids

Uses Software

• Boids

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