activity
20172022
most citedDistributed Economic Dispatch for Energy Internet Based on Multi-Agent Consensus Control

3 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2022

Decentralized Online Regularized Learning Over Random Time-Varying Graphs

Xiwei Zhang, Tao Li, Xiaozheng Fu

We study the decentralized online regularized linear regression algorithm over random time-varying graphs. At each time step, every node runs an online estimation algorithm consist…

eess.SY2020★ 1 cited

Distributed Stochastic Optimization With Unbounded Subgradients Over Randomly Time-Varying Networks

Yan Chen, Alexander L. Fradkov, Keli Fu +2

Motivated by distributed statistical learning over uncertain communication networks, we study distributed stochastic optimization by networked nodes to cooperatively minimize a sum…

eess.SP2019

Decentralized Cooperative Online Estimation With Random Observation Matrices, Communication Graphs and Time Delays

Jiexiang Wang, Tao Li, Xiwei Zhang

We analyze convergence of decentralized cooperative online estimation algorithms by a network of multiple nodes via information exchanging in an uncertain environment. Each node ha…

eess.SY2018★ 3 cited

Distributed Economic Dispatch for Energy Internet Based on Multi-Agent Consensus Control

Wushun Chen, Tao Li

We consider the economic dispatch (ED) for an Energy Internet composed of energy routers (ERs), interconnected microgrids and main grid. The microgrid consists of several bus nodes…

cs.SI2017

Distributed Averaging With Random Network Graphs and Noises

Tao Li, Jiexiang Wang

We consider discrete-time distributed averaging algorithms over multi-agent networks with measurement noises and time-varying random graph flows. Each agent updates its state by re…