supported by the National Science and Technology Major Project (2021ZD0112702);the National Natural Science Foundation (NNSF)of China (62373100,62233003);the Natural Science Foundation of Jiangsu Province of China (BK20202006)。
This article studies the effective traffic signal control problem of multiple intersections in a city-level traffic system.A novel regional multi-agent cooperative reinforcement learning algorithm called RegionSTLight...
supported in part by NSFC (62102099, U22A2054, 62101594);in part by the Pearl River Talent Recruitment Program (2021QN02S643);Guangzhou Basic Research Program (2023A04J1699);in part by the National Research Foundation, Singapore;Infocomm Media Development Authority under its Future Communications Research Development Programme;DSO National Laboratories under the AI Singapore Programme under AISG Award No AISG2-RP-2020-019;Energy Research Test-Bed and Industry Partnership Funding Initiative, Energy Grid (EG) 2.0 programme;DesCartes and the Campus for Research Excellence and Technological Enterprise (CREATE) programme;MOE Tier 1 under Grant RG87/22;in part by the Singapore University of Technology and Design (SUTD) (SRG-ISTD-2021- 165);in part by the SUTD-ZJU IDEA Grant SUTD-ZJU (VP) 202102;in part by the Ministry of Education, Singapore, through its SUTD Kickstarter Initiative (SKI 20210204)。
Avatars, as promising digital representations and service assistants of users in Metaverses, can enable drivers and passengers to immerse themselves in 3D virtual services and spaces of UAV-assisted vehicular Metavers...
supported in part by the National Natural Science Foundation of China(NSFC)(61773260);the Ministry of Science and Technology (2018YFB130590)。
This paper studies a novel distributed optimization problem that aims to minimize the sum of the non-convex objective functionals of the multi-agent network under privacy protection, which means that the local objecti...
supported in part by the National Key R&D Program of China(2021ZD0112600);the National Natural Science Foundation of China(61873219,62103344,62173283);the Natural Science Foundation of Fujian Province of China(2021J01051,2021J05015);Science and Technology Projects of Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province(IKKEM)(HRTP-[2022]-25)。
Dear Editor,This letter investigates a multi-agent path planning problem in a road network with the requirement of avoiding collisions among all agents in the partitioned environment.We first abstract the agents to a ...
supported in part by the NationalKey Research and Development Program of China(2021YFB1714800);the National Natural Science Foundation of China(61925303,62088101,62073035,62173034);the Natural Science Foundation of Chongqing(2021ZX4100027)。
This paper develops a fully distributed hybrid control framework for distributed constrained optimization problems.The individual cost functions are non-differentiable and convex.Based on hybrid dynamical systems,we p...
supported by the Key Research and Development Project in Guangdong Province(2020B0101050001);the National Science Foundation of China(61973214,61590924,61963030);the Natural Science Foundation of Shanghai(19ZR1476200)。
In this paper,we consider distributed convex optimization problems on multi-agent networks.We develop and analyze the distributed gradient method which allows each agent to compute its dynamic stepsize by utilizing th...
supported in part by the National Natural Science Foundation of China(61722312,61533017,62073321);the National Key Research and Development Program of China(2018YFB1702300)。
This paper investigates the consensus problem for linear multi-agent systems with the heterogeneous disturbances generated by the Brown motion.Its main contribution is that a control scheme is designed to achieve the ...
Robots in a swarm are programmed with individual behaviors but then interactions with the environment and other robots produce more complex, emergent swarm behaviors. One discriminating feature of the emergent behavio...
supported in part by the National Key Research and Development Program of China (2016YFB0800601)
This paper investigates the differentially private problem of the average consensus for a class of discrete-time multi-agent network systems(MANSs). Based on the MANSs,a new distributed differentially private consensu...
In this paper, an online optimal distributed learning algorithm is proposed to solve leader-synchronization problem of nonlinear multi-agent differential graphical games. Each player approximates its optimal control p...