activity
20152022
most citedGame Design and Analysis for Price based Demand Response: An Aggregate Game Approach

292 citations · 606 across the 37 of their papers we have counts for

collaborators

37 papers

math.OC2022

Duality-Based Distributed Optimization With Communication Delays in Multi-Cluster Networks

Jianzheng Wang, Guoqiang Hu

In this work, we consider solving a distributed optimization problem (DOP) in a multi-agent network with multiple agent clusters. In each cluster, the agents manage separable cost…

cs.CE2022

Optimal Network Charge for Peer-to-Peer Energy Trading: A Grid Perspective

Yu Yang, Yue Chen, Guoqiang Hu +1

Peer-to-peer (P2P) energy trading is a promising market scheme to accommodate the increasing distributed energy resources (DERs). However, how P2P to be integrated into the existin…

math.OC2022★ 2 cited

Distributed Optimization with Coupling Constraints in Multi-Cluster Networks Based on Dual Proximal Gradient Method

Jianzheng Wang, Guoqiang Hu

In this work, we consider solving a distributed optimization problem in a multi-agent network with multiple clusters. In each cluster, the involved agents cooperatively optimize a…

math.OC2021★ 2 cited

Distributed Generalized Nash Equilibrium Seeking of N-Coalition Games with Full and Distributive Constraints

Chao Sun, Guoqiang Hu

In this work, we investigate the distributed generalized Nash equilibrium (GNE) seeking problems for -coalition games with inequality constraints. First, we study the scenario w…

math.OC2021

Distributed Optimization with Coupling Constraints Based on Dual Proximal Gradient Method in Multi-Agent Networks

Jianzheng Wang, Guoqiang Hu

In this paper, we aim to solve a distributed optimization problem with affine coupling constraints in a multi-agent network, where the cost function of the agents is composed of sm…

eess.SY2021

Social Cost Optimization for Prosumer Community with Two Price-Package Incentives in Two-Settlement Based Electricity Market

Jianzheng Wang, Guoqiang Hu

In this paper, we consider a future electricity market consisting of aggregated energy prosumers, who are equipped with local wind power plants (WPPs) to support (part of) their en…

eess.SY2021★ 2 cited

Resilient Time-Varying Output Formation Tracking of Linear Multi-Agent Systems Against Unbounded FDI Sensor Attacks and Unreliable Digraphs

Zhi Feng, Guoqiang Hu

One salient feature of cooperative formation tracking is its distributed nature that relies on localized control and information sharing over a sparse communication network. That i…

math.OC2021★ 1 cited

Attack-Resilient Distributed Convex Optimization of Linear Multi-Agent Systems Against Malicious Cyber-Attacks over Random Digraphs

Zhi Feng, Guoqiang Hu

This paper addresses a resilient exponential distributed convex optimization problem for a heterogeneous linear multi-agent system under Denial-of-Service (DoS) attacks over random…

math.OC2021★ 1 cited

A Gradient-Free Distributed Optimization Method for Convex Sum of Non-Convex Cost Functions

Yipeng Pang, Guoqiang Hu

This paper presents a special type of distributed optimization problems, where the summation of agents' local cost functions (i.e., global cost function) is convex, but each indivi…

eess.SY2021★ 1 cited

Social Profit Optimization with Demand Response Management in Electricity Market: A Multi-timescale Leader-following Approach

Jianzheng Wang, Yipeng Pang, Guoqiang Hu

In the electricity market, it is quite common that the market participants make "selfish" strategies to harvest the maximum profits for themselves, which may cause the social benef…

math.OC2021

Composite Optimization with Coupling Constraints via Penalized Proximal Gradient Method in Partially Asynchronous Networks

Jianzheng Wang, Guoqiang Hu

In this paper, we consider a composite optimization problem with linear coupling constraints in a multi-agent network. In this problem, all the agents jointly optimize a global com…

math.OC2021★ 3 cited

Composite Optimization with Coupling Constraints via Dual Proximal Gradient Method with Applications to Asynchronous Networks

Jianzheng Wang, Guoqiang Hu

In this paper, we consider solving a composite optimization problem with coupling constraints in a multi-agent network based on proximal gradient method. In this problem, all the a…

cs.GT2021★ 3 cited

Selling Renewable Utilization Service to Consumers via Cloud Energy Storage

Yu Yang, Utkarsha Agwan, Guoqiang Hu +1

This paper proposes a cloud energy storage (CES) model for enabling local renewable integration of building consumers (BCs). Different from most existing third-party based ES shari…

math.OC2020

Distributed Nash Equilibrium Seeking in N-Cluster Games with Fully Uncoordinated Constant Step-Sizes

Yipeng Pang, Guoqiang Hu

Distributed optimization and Nash equilibrium (NE) seeking problems have drawn much attention in the control community recently. This paper studies a class of non-cooperative games…

math.OC2020★ 28 cited

Distributed Nash Equilibrium Seeking for Monotone Generalized Noncooperative Games by a Regularized Penalty Method

Chao Sun, Guoqiang Hu

In this work, we study the distributed Nash equilibrium seeking problem for monotone generalized noncooperative games with set constraints and shared affine inequality constraints.…

cs.GT2020★ 5 cited

Optimal Sharing and Fair Cost Allocation of Community Energy Storage

Yu Yang, Guoqiang Hu, Costas J. Spanos

This paper studies an energy storage (ES) sharing model which is cooperatively invested by multiple buildings for harnessing on-site renewable utilization and grid price arbitrage.…

math.OC2020★ 4 cited

A Continuous-Time Nesterov Accelerated Gradient Method for Centralized and Distributed Online Convex Optimization

Chao Sun, Guoqiang Hu

This paper studies the online convex optimization problem by using an Online Continuous-Time Nesterov Accelerated Gradient method (OCT-NAG). We show that the continuous-time dynami…

eess.SY2020★ 8 cited

Prescribed-Time Fully Distributed Nash Equilibrium Seeking in Noncooperative Games

Zhi Feng, Guoqiang Hu

In this paper, we investigate a prescribed-time and fully distributed Nash Equilibrium (NE) seeking problem for continuous-time noncooperative games. By exploiting pseudo-gradient…

eess.SY2020★ 1 cited

Fault-Tolerant Formation Tracking of Heterogeneous Multi-Agent Systems with Time-Varying Actuator Faults and Its Application to Task-Space Cooperative Tracking of Manipulators

Z. Feng, G. Hu

This paper addresses a formation tracking problem for nonlinear multi-agent systems with time-varying actuator faults, in which only a subset of agents has access to the leader's i…

eess.SY2020★ 6 cited

Attack-Resilient Distributed Algorithms for Exponential Nash Equilibrium Seeking

Zhi Feng, Guoqiang Hu

This paper investigates a resilient distributed Nash equilibrium (NE) seeking problem on a directed communication network subject to malicious cyber-attacks. The considered attacks…

math.OC2020★ 10 cited

Gradient-Free Nash Equilibrium Seeking in N-Cluster Games with Uncoordinated Constant Step-Sizes

Yipeng Pang, Guoqiang Hu

This work investigates a problem of simultaneous global cost minimization and Nash equilibrium seeking, which commonly exists in -cluster non-cooperative games. Specifically, th…

math.OC2020★ 10 cited

Nash Equilibrium Seeking in N-Coalition Games via a Gradient-Free Method

Yipeng Pang, Guoqiang Hu

This paper studies an -coalition non-cooperative game problem, where the players in the same coalition cooperatively minimize the sum of their local cost functions under a direc…

math.OC2020★ 1 cited

Gradient-Free Distributed Optimization with Exact Convergence

Yipeng Pang, Guoqiang Hu

In this paper, a gradient-free distributed algorithm is introduced to solve a set constrained optimization problem under a directed communication network. Specifically, at each tim…

math.OC2020★ 2 cited

Distributed Nash Equilibrium Seeking with Limited Cost Function Knowledge via A Consensus-Based Gradient-Free Method

Yipeng Pang, Guoqiang Hu

This paper considers a distributed Nash equilibrium seeking problem, where the players only have partial access to other players' actions, such as their neighbors' actions. Thus, t…