Consensus of Multi-agent Systems Under State-dependent Information Transmission. - Gangshan Jing; Yuanshi Zheng; Long Wang 001 (CoRR, 2014)

Flocking of multi-agent systems with multiple groups. - Gangshan Jing; Yuanshi Zheng; Long Wang 001 (Int. J. Control, 2014)

Distributed algorithms for solving convex inequalities. - Kaihong Lu; Gangshan Jing; Long Wang 001 (CoRR, 2016)

Distributed Algorithms for Solving a Class of Convex Feasibility Problems. - Kaihong Lu; Gangshan Jing; Long Wang 001 (CoRR, 2016)

Opinion containment in social networks over issue sequences. - Ye Tian 032; Gangshan Jing; Long Wang 001 (CASE, 2017)

Consensus of Multiagent Systems With Distance-Dependent Communication Networks. - Gangshan Jing; Yuanshi Zheng; Long Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2017)

Weak Rigidity Theory and its Application to Multi-agent Formation Stabilization. - Gangshan Jing; Guofeng Zhang 003; Heung-Wing Joseph Lee; Long Wang 001 (CoRR, 2018)

Weak Rigidity Theory and Its Application to Formation Stabilization. - Gangshan Jing; Guofeng Zhang 003; Heung-Wing Joseph Lee; Long Wang 001 (SIAM J. Control. Optim., 2018)

Distributed Algorithm for Solving Convex Inequalities. - Kaihong Lu; Gangshan Jing; Long Wang 001 (IEEE Trans. Autom. Control., 2018)

A Distributed Algorithm for Sensor Network Localization with Limited Measurements of Relative Distance. - Changhuang Wan; Sixiong You; Gangshan Jing; Ran Dai (ACC, 2019)

Angle Fixability and Angle-Based Sensor Network Localization. - Gangshan Jing; Changhuang Wan; Ran Dai (CDC, 2019)

Angle-based shape determination theory of planar graphs with application to formation stabilization. - Gangshan Jing; Guofeng Zhang 003; Heung-Wing Joseph Lee; Long Wang 001 (Autom., 2019)

A distributed algorithm for solving mixed equilibrium problems. - Kaihong Lu; Gangshan Jing; Long Wang 001 (Autom., 2019)

Finite-Time Coordination Under State-Dependent Communication Graphs With Inherent Links. - Gangshan Jing; Long Wang 001 (IEEE Trans. Circuits Syst. II Express Briefs, 2019)

Distributed Algorithms for Searching Generalized Nash Equilibrium of Noncooperative Games. - Kaihong Lu; Gangshan Jing; Long Wang 001 (IEEE Trans. Cybern., 2019)

Distributed algorithms for solving the convex feasibility problems. - Kaihong Lu; Gangshan Jing; Long Wang 001 (Sci. China Inf. Sci., 2020)

Model-Free Optimal Control of Linear Multi-Agent Systems via Decomposition and Hierarchical Approximation. - Gangshan Jing; He Bai 001; Jemin George; Aranya Chakrabortty (CoRR, 2020)

Hierarchical Reinforcement Learning for Optimal Control of Linear Multi-Agent Systems: the Homogeneous Case. - Gangshan Jing; He Bai 001; Jemin George; Aranya Chakrabortty (CoRR, 2020)

Model-Free Reinforcement Learning of Minimal-Cost Variance Control. - Gangshan Jing; He Bai 001; Jemin George; Aranya Chakrabortty (IEEE Control. Syst. Lett., 2020)

Multiagent Flocking With Angle-Based Formation Shape Control. - Gangshan Jing; Long Wang 001 (IEEE Trans. Autom. Control., 2020)

Online Distributed Optimization With Strongly Pseudoconvex-Sum Cost Functions. - Kaihong Lu; Gangshan Jing; Long Wang 001 (IEEE Trans. Autom. Control., 2020)

Sensor Network Localization via Alternating Rank Minimization Algorithms. - Changhuang Wan; Gangshan Jing; Sixiong You; Ran Dai (IEEE Trans. Control. Netw. Syst., 2020)

Decomposability and Parallel Computation of Multi-Agent LQR. - Gangshan Jing; He Bai 001; Jemin George; Aranya Chakrabortty (ACC, 2021)

Local Shape-Preserving Formation Maneuver Control of Multi-agent Systems: From 2D to 3D. - Changhuang Wan; Gangshan Jing; Ran Dai; Ruike Zhao (CDC, 2021)

Model-Free Optimal Control of Linear Multiagent Systems via Decomposition and Hierarchical Approximation. - Gangshan Jing; He Bai 001; Jemin George; Aranya Chakrabortty (IEEE Trans. Control. Netw. Syst., 2021)

Distributed Cooperative Multi-Agent Reinforcement Learning with Directed Coordination Graph. - Gangshan Jing; He Bai 001; Jemin George; Aranya Chakrabortty; Piyush K. Sharma (ACC, 2022)

A Scalable Graph-Theoretic Distributed Framework for Cooperative Multi-Agent Reinforcement Learning. - Gangshan Jing; He Bai 001; Jemin George; Aranya Chakrabortty; Piyush K. Sharma (CoRR, 2022)

Learning Distributed Stabilizing Controllers for Multi-Agent Systems. - Gangshan Jing; He Bai 001; Jemin George; Aranya Chakrabortty; Piyush K. Sharma (IEEE Control. Syst. Lett., 2022)

Angle-Based Sensor Network Localization. - Gangshan Jing; Changhuang Wan; Ran Dai (IEEE Trans. Autom. Control., 2022)

Fuel-Optimal Guidance for End-to-End Human-Mars Entry, Powered-Descent, and Landing Mission. - Changhuang Wan; Gangshan Jing; Ran Dai; Jeremy R. Rea (IEEE Trans. Aerosp. Electron. Syst., 2022)

Angle-Constrained Formation Control under Directed Non-Triangulated Sensing Graphs (Extended Version). - Kun Li 028; Zhixi Shen; Gangshan Jing; Yongduan Song (CoRR, 2023)

Angle-constrained formation control under directed non-triangulated sensing graphs. - Kun Li 028; Zhixi Shen; Gangshan Jing; Yongduan Song (Autom., 2024)

Design and Transformation Control of Triangulated Origami Tessellation: A Network Perspective. - Gangshan Jing; Changhuang Wan; Ran Dai; Mehran Mesbahi (IEEE Trans. Netw. Sci. Eng., 2024)

Distributed Multiagent Reinforcement Learning Based on Graph-Induced Local Value Functions. - Gangshan Jing; He Bai 001; Jemin George; Aranya Chakrabortty; Piyush K. Sharma (IEEE Trans. Autom. Control., 2024)

Asynchronous Distributed Reinforcement Learning for LQR Control via Zeroth-Order Block Coordinate Descent. - Gangshan Jing; He Bai 001; Jemin George; Aranya Chakrabortty; Piyush K. Sharma (IEEE Trans. Autom. Control., 2024)

Global stabilization of similar formation via edge-based clique addition. - Gen He; Gangshan Jing; Yongduan Song (Autom., 2025)

Angle Rigidity-Based Communication-Free Adaptive Formation Control for Nonlinear Multiagent Systems With Prescribed Performance. - Kun Li 028; Yujuan Wang; Gangshan Jing; Yongduan Song; Lihua Xie 001 (IEEE Trans. Cybern., 2025)

Signed Angle Rigid Graphs for Network Localization and Formation Control. - Jinpeng Huang; Gangshan Jing (CoRR, 2025)

Action Dependency Graphs for Globally Optimal Coordinated Reinforcement Learning. - Jianglin Ding; Jingcheng Tang; Gangshan Jing (CoRR, 2025)

Distributed Non-Uniform Scaling Control of Multi-Agent Formation via Matrix-Valued Constraints. - Tao He; Gangshan Jing (CoRR, 2025)