activity
20162024
most citedDistributed Nash equilibrium seeking for aggregative games with coupled constraints

331 citations · 426 across the 11 of their papers we have counts for

collaborators

11 papers

math.OC2024

Distributed Optimal Output Consensus Control of Heterogeneous Multi-Agent Systems with Safety Constraints

Ji Ma, Shu Liang, Yiguang Hong

In this paper, we develop a novel dynamic distributed optimal safe consensus protocol to simultaneously achieve safety requirements and output optimal consensus. Specifically, we c…

math.OC2022

Distributed aggregative optimization with quantization communication

Ziqin Chen, Shu Liang

In this paper, we focus on an aggregative optimization problem under the communication bottleneck. The aggregative optimization is to minimize the sum of local cost functions. Each…

math.OC2021

Quantized Primal-Dual Algorithms for Network Optimization with Linear Convergence

Ziqin Chen, Shu Liang, Li Li +1

This paper studies the network optimization problem about which a group of agents cooperates to minimize a global function under practical constraints of finite bandwidth communica…

cs.DC2021

Distributed Nash Equilibrium Seeking under Quantization Communication

Ziqin Chen, Ji Ma, Shu Liang +1

This paper investigates Nash equilibrium (NE) seeking problems for noncooperative games over multi-players networks with finite bandwidth communication. A distributed quantized alg…

math.OC2020★ 6 cited

Exponentially Convergent Algorithm Design for Constrained Distributed Optimization via Non-smooth Approach

Weijian Li, Xianlin Zeng, Shu Liang +1

We consider minimizing a sum of non-smooth objective functions with set constraints in a distributed manner. As to this problem, we propose a distributed algorithm with an exponent…

math.OC2019

Exponentially convergent distributed Nash equilibrium seeking for constrained aggregative games

Shu Liang, Peng Yi, Yiguang Hong +1

Distributed Nash equilibrium seeking of aggregative games is investigated and a continuous-time algorithm is proposed. The algorithm is designed by virtue of projected gradient pla…

math.OC2019★ 1 cited

Distributed sub-optimal resource allocation via a projected form of singular perturbation

Shu Liang, Xianlin Zeng, Guanpu Chen +1

Distributed optimization for resource allocation problems is investigated and a sub-optimal continuous-time algorithm is proposed. Our algorithm has lower order dynamics than other…

math.OC2017★ 2 cited

Distributed Computation of Linear Matrix Equations: An Optimization Perspective

Xianlin Zeng, Shu Liang, Yiguang Hong +1

This paper investigates the distributed computation of the well-known linear matrix equation in the form of , with the matrices A, B, X, and F of appropriate dimensions, o…

math.OC2017★ 86 cited

Distributed sub-optimal resource allocation over weight-balanced graph via singular perturbation

Shu Liang, Xianlin Zeng, Yiguang Hong

In this paper, we consider distributed optimization design for resource allocation problems over weight-balanced graphs. With the help of singular perturbation analysis, we propose…

math.OC2016

Distributed Nonsmooth Optimization with Coupled Inequality Constraints via Modified Lagrangian Function

Shu Liang, Xianlin Zeng, Yiguang Hong

This technical note considers a distributed convex optimization problem with nonsmooth cost functions and coupled nonlinear inequality constraints. To solve the problem, we first p…

math.OC2016★ 331 cited

Distributed Nash equilibrium seeking for aggregative games with coupled constraints

Shu Liang, Peng Yi, Yiguang Hong

In this paper, we study a distributed continuous-time design for aggregative games with coupled constraints in order to seek the generalized Nash equilibrium by a group of agents v…