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20182024
most citedDistributed Nonsmooth Robust Resource Allocation with Cardinality Constrained Uncertainty

3 citations · 8 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SY2024★ 3 cited

Inverse Optimal Control for Linear Quadratic Tracking with Unknown Target States

Yao Li, Chengpu Yu, Hao Fang +1

This paper addresses the inverse optimal control for the linear quadratic tracking problem with a fixed but unknown target state, which aims to estimate the possible triplets compr…

cs.RO2022★ 1 cited

Self-organized Polygon Formation Control based on Distributed Estimation

Qingkai Yang, Fan Xiao, Jingshuo Lyu +2

This paper studies the problem of controlling a multi-robot system to achieve a polygon formation in a self-organized manner. Different from the typical formation control strategie…

math.OC2020★ 1 cited

Solving A Class of Nonsmooth Resource Allocation Problems with Directed Graphs though Distributed Smooth Multi-Proximal Algorithms

Yue Wei, Chengsi Shang, Hao Fang +3

In this paper, two distributed multi-proximal primal-dual algorithms are proposed to deal with a class of distributed nonsmooth resource allocation problems. In these problems, the…

eess.SY2019

Distributed Global Output-Feedback Control for a Class of Euler-Lagrange Systems

Qingkai Yang, Hao Fang, Jie Chen +2

This published paper investigates the distributed tracking control problem for a class of Euler-Lagrange multi-agent systems when the agents can only measure the positions. In this…

math.OC2019★ 3 cited

Distributed Nonsmooth Robust Resource Allocation with Cardinality Constrained Uncertainty

Yue Wei, Shuxin Ding, Hao Fang +3

A distributed nonsmooth robust resource allocation problem with cardinality constrained uncertainty is investigated in this paper. The global objective is consisted of local object…

math.OC2018

A Smooth Double Proximal Primal-Dual Algorithm for a Class of Distributed Nonsmooth Optimization Problem

Yue Wei, Hao Fang, Xianlin Zeng +2

This technical note studies a class of distributed nonsmooth convex consensus optimization problem. The cost function is a summation of local cost functions which are convex but no…