Corrigendum to “Stochastic generalized Nash equilibrium seeking under partial-decision information” [Automatica 137 (2022) 110101] (Automatica (2022) 137, (S0005109821006300), (10.1016/j.automatica.2021.110101))

B. Franci*, S. Grammatico

*Corresponding author for this work

Research output: Contribution to journalErratum / corrigendum / retractionsAcademic

Abstract

The following paragraph was inadvertently omitted from the final version of the paper (Franci & Grammatico, 2022). The paragraph was to be placed at the end of the Introduction section: “Finally, let us remark that our setting, and in general, the literature on SGNEPs, assumes that the agents have access to stochastic (partial) first-order information, specifically, random samples of the pseudogradient, as opposed to zeroth-order information, i.e., direct measurements of the cost functions as in extremum seeking (Frihauf, Krstic, & Basar, 2011; Krilašević & Grammatico, 2021; Liu & Krstić, 2011). In particular, the SGNEP literature assumes that the random samples of first-order information are given, hence cannot be controlled, while the extremum-seeking literature assumes that the available zeroth-order information is deterministic and results from a controlled perturbation injected into the system”.

Original languageEnglish
Article number110501
Number of pages1
JournalAutomatica
Volume145
DOIs
Publication statusPublished - 1 Nov 2022

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