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20182023
most citedCommunication-Efficient Stochastic Zeroth-Order Optimization for Federated Learning

60 citations · 147 across the 32 of their papers we have counts for

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Showing 2022 · eess.SYShow all

5 papers · 2 filters

eess.SY2022

Federated Reinforcement Learning for Real-Time Electric Vehicle Charging and Discharging Control

Zixuan Zhang, Yuning Jiang, Yuanming Shi +2

With the recent advances in mobile energy storage technologies, electric vehicles (EVs) have become a crucial part of smart grids. When EVs participate in the demand response progr…

eess.SY2022

Distributed data-driven predictive control for cooperatively smoothing mixed traffic flow

Jiawei Wang, Yingzhao Lian, Yuning Jiang +3

Cooperative control of connected and automated vehicles (CAVs) promises smoother traffic flow. In mixed traffic, where human-driven vehicles with unknown dynamics coexist, data-dri…

eess.SY2022

Scheduling Delays and Curtailment for Household Appliances with Deterministic Load Profiles using MPC

Yingzhao Lian, Yuning Jiang, Colin N. Jones +1

Smart home appliances can time-shift and curtail their power demand to assist demand side management or allow operation with limited power, as in an off-grid application. This pape…

eess.SY2022★ 1 cited

A Proximal-Point Lagrangian Based Parallelizable Nonconvex Solver for Bilinear Model Predictive Control

Yingzhao Lian, Yuning Jiang, Daniel F. Opila +1

Nonlinear model predictive control has been widely adopted to manipulate bilinear systems with dynamics that include products of the inputs and the states. These systems are ubiqui…

eess.SY2022★ 11 cited

Rapid Scalable Distributed Power Flow with Open-Source Implementation

Xinliang Dai, Yichen Cai, Yuning Jiang +1

This paper introduces a new method for solving the distributed AC power flow (PF) problem by further exploiting the problem formulation. We propose a new variant of the ALADIN algo…