Gangshan Jing

According to our database, Gangshan Jing authored at least 35 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Distributed Multiagent Reinforcement Learning Based on Graph-Induced Local Value Functions.

Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty, Piyush K. Sharma

IEEE Trans. Autom. Control., October, 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

Angle-constrained formation control under directed non-triangulated sensing graphs.

Kun Li, Zhixi Shen, Gangshan Jing, Yongduan Song

Autom., 2024

2023

Angle-Constrained Formation Control under Directed Non-Triangulated Sensing Graphs (Extended Version).

Kun Li, Zhixi Shen, Gangshan Jing, Yongduan Song

CoRR, 2023

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-Based Sensor Network Localization.

Gangshan Jing, Changhuang Wan, Ran Dai

IEEE Trans. Autom. Control., 2022

Learning Distributed Stabilizing Controllers for Multi-Agent Systems.

Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty, Piyush K. Sharma

IEEE Control. Syst. Lett., 2022

A Scalable Graph-Theoretic Distributed Framework for Cooperative Multi-Agent Reinforcement Learning.

Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty, Piyush K. Sharma

CoRR, 2022

Distributed Cooperative Multi-Agent Reinforcement Learning with Directed Coordination Graph.

Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty, Piyush K. Sharma

Proceedings of the American Control Conference, 2022

2021

Model-Free Optimal Control of Linear Multiagent Systems via Decomposition and Hierarchical Approximation.

Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty

IEEE Trans. Control. Netw. Syst., 2021

Asynchronous Distributed Reinforcement Learning for LQR Control via Zeroth-Order Block Coordinate Descent.

Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty, Piyush K. Sharma

CoRR, 2021

Local Shape-Preserving Formation Maneuver Control of Multi-agent Systems: From 2D to 3D.

Changhuang Wan, Gangshan Jing, Ran Dai, Ruike Zhao

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Decomposability and Parallel Computation of Multi-Agent LQR.

Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty

Proceedings of the 2021 American Control Conference, 2021

2020

Sensor Network Localization via Alternating Rank Minimization Algorithms.

Changhuang Wan, Gangshan Jing, Sixiong You, Ran Dai

IEEE Trans. Control. Netw. Syst., 2020

Online Distributed Optimization With Strongly Pseudoconvex-Sum Cost Functions.

Kaihong Lu, Gangshan Jing, Long Wang

IEEE Trans. Autom. Control., 2020

Multiagent Flocking With Angle-Based Formation Shape Control.

Gangshan Jing, Long Wang

IEEE Trans. Autom. Control., 2020

Model-Free Reinforcement Learning of Minimal-Cost Variance Control.

Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty

IEEE Control. Syst. Lett., 2020

Hierarchical Reinforcement Learning for Optimal Control of Linear Multi-Agent Systems: the Homogeneous Case.

Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty

CoRR, 2020

Model-Free Optimal Control of Linear Multi-Agent Systems via Decomposition and Hierarchical Approximation.

Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty

CoRR, 2020

Distributed algorithms for solving the convex feasibility problems.

Kaihong Lu, Gangshan Jing, Long Wang

Sci. China Inf. Sci., 2020

2019

Distributed Algorithms for Searching Generalized Nash Equilibrium of Noncooperative Games.

Kaihong Lu, Gangshan Jing, Long Wang

IEEE Trans. Cybern., 2019

Finite-Time Coordination Under State-Dependent Communication Graphs With Inherent Links.

Gangshan Jing, Long Wang

IEEE Trans. Circuits Syst. II Express Briefs, 2019

A distributed algorithm for solving mixed equilibrium problems.

Kaihong Lu, Gangshan Jing, Long Wang

Autom., 2019

Angle-based shape determination theory of planar graphs with application to formation stabilization.

Gangshan Jing, Guofeng Zhang, Heung-Wing Joseph Lee, Long Wang

Autom., 2019

Angle Fixability and Angle-Based Sensor Network Localization.

Gangshan Jing, Changhuang Wan, Ran Dai

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

A Distributed Algorithm for Sensor Network Localization with Limited Measurements of Relative Distance.

Changhuang Wan, Sixiong You, Gangshan Jing, Ran Dai

Proceedings of the 2019 American Control Conference, 2019

2018

Distributed Algorithm for Solving Convex Inequalities.

Kaihong Lu, Gangshan Jing, Long Wang

IEEE Trans. Autom. Control., 2018

Weak Rigidity Theory and Its Application to Formation Stabilization.

Gangshan Jing, Guofeng Zhang, Heung-Wing Joseph Lee, Long Wang

SIAM J. Control. Optim., 2018

Weak Rigidity Theory and its Application to Multi-agent Formation Stabilization.

Gangshan Jing, Guofeng Zhang, Heung-Wing Joseph Lee, Long Wang

CoRR, 2018

2017

Consensus of Multiagent Systems With Distance-Dependent Communication Networks.

Gangshan Jing, Yuanshi Zheng, Long Wang

IEEE Trans. Neural Networks Learn. Syst., 2017

Opinion containment in social networks over issue sequences.

Ye Tian, Gangshan Jing, Long Wang

Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017

2016

Distributed Algorithms for Solving a Class of Convex Feasibility Problems.

Kaihong Lu, Gangshan Jing, Long Wang

CoRR, 2016

Distributed algorithms for solving convex inequalities.

Kaihong Lu, Gangshan Jing, Long Wang

CoRR, 2016

2014

Flocking of multi-agent systems with multiple groups.

Gangshan Jing, Yuanshi Zheng, Long Wang

Int. J. Control, 2014

Consensus of Multi-agent Systems Under State-dependent Information Transmission.

Gangshan Jing, Yuanshi Zheng, Long Wang

CoRR, 2014