A Robust Optimization Approach to Network Control Using Local Information Exchange

Managing networks often involves extensive communication between all parts of the system, which can be inefficient and raise privacy concerns. This paper explores an alternative approach where each part of the system only communicates with its closest neighbors. By simplifying the communication structure, the system can operate with less computational effort while maintaining privacy. Applied to areas like energy management and supply chains, this method has the potential to provide similar outcomes to traditional models but with fewer communication requirements. The results suggest that this approach could offer a more efficient and privacy-conscious way to manage networks.

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Publication Details

Journal
Operations Research
Published
2024-11-19
DOI
https://doi.org/10.1287/opre.2020.0217
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

A Robust Optimization Approach to Network Control Using Local Information Exchange

John Lygeros, Angelos Georghiou, Georgios Darivianakis, Soroosh Shafiee
Operations Research
Advanced Control Systems Optimization
article

A Robust Optimization Approach to Network Control Using Local Information Exchange

John Lygeros, Angelos Georghiou, Georgios Darivianakis, Soroosh Shafiee
article en

Abstract

Managing networks often involves extensive communication between all parts of the system, which can be inefficient and raise privacy concerns. This paper explores an alternative approach where each part of the system only communicates with its closest neighbors. By simplifying the communication structure, the system can operate with less computational effort while maintaining privacy. Applied to areas like energy management and supply chains, this method has the potential to provide similar outcomes to traditional models but with fewer communication requirements. The results suggest that this approach could offer a more efficient and privacy-conscious way to manage networks.

Operations ResearchVol. 73(5)
Cornell University (US), University of Cyprus (CY), ETH Zurich (CH), Association Fribourgeoise des Psychologues (CH)
Affordable and clean energy
Openalex Percentile: Top 76%
Advanced Control Systems Optimization
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A Robust Optimization Approach to Network Control Using Local Information Exchange — John Lygeros, Angelos Georghiou, et al. · Operations Research (2024) | TGRS Research Map | TGRS