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20212024
most citedGlobal solution to sensor network localization: A non-convex potential game approach and its distributed implementation

4 citations · 10 across the 8 of their papers we have counts for

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6 papers · 1 filter

math.OC2024

A Multi-Player Potential Game Approach for Sensor Network Localization with Noisy Measurements

Gehui Xu, Guanpu Chen, Baris Fidan +4

Sensor network localization (SNL) is a challenging problem due to its inherent non-convexity and the effects of noise in inter-node ranging measurements and anchor node position. W…

math.OC2024★ 4 cited

Global solution to sensor network localization: A non-convex potential game approach and its distributed implementation

Gehui Xu, Guanpu Chen, Yiguang Hong +3

Consider a sensor network consisting of both anchor and non-anchor nodes. We address the following sensor network localization (SNL) problem: given the physical locations of anchor…

math.OC2023

Non-convex potential games for finding global solutions to sensor network localization

Gehui Xu, Guanpu Chen, Yiguang Hong +3

Sensor network localization (SNL) problems require determining the physical coordinates of all sensors in a network. This process relies on the global coordinates of anchors and th…

math.OC2022

Algorithm design and approximation analysis on distributed robust game

Gehui Xu, Guanpu Chen, Hongsheng Qi

We design a distributed algorithm to seek generalized Nash equilibria of a robust game with uncertain coupled constraints. Due to the uncertainty of parameters in set constraints,…

math.OC2021★ 3 cited

Efficient algorithm for approximating Nash equilibrium of distributed aggregative games

Gehui Xu, Guanpu Chen, Hongsheng Qi +1

In this paper, we aim to design a distributed approximate algorithm for seeking Nash equilibria of an aggregative game. Due to the local set constraints of each player, projectionb…

math.OC2021

Distributed Mirror Descent Algorithm with Bregman Damping for Nonsmooth Constrained Optimization

Guanpu Chen, Weijian Li, Gehui Xu +1

To solve distributed optimization efficiently with various constraints and nonsmooth functions, we propose a distributed mirror descent algorithm with embedded Bregman damping, as…