#7340. Adaptive step size selection in distributed optimization with observation noise and unknown stochastic target variation

October 2026publication date
Proposal available till 13-05-2025
4 total number of authors per manuscript0 $

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Journal’s subject area:
Control and Systems Engineering;
Electrical and Electronic Engineering;
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Abstract:
This paper introduces distributed adaptive algorithms for optimal step size selection in a distributed constrained optimization problem that involves stochastic target variations and noisy observations. The limit behavior of the step size sequences reflects fundamental impact that must be balanced between tracking the target changes and attenuating observation noises.
Keywords:
Constrained optimization; Distributed algorithm; Noisy observation; Step size selection; Target variation

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