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Gangshan Jing

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affiliation: Xidian University, Xi'an, China

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2025
[j23]
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Gen He, Gangshan Jing, Yongduan Song:
Global stabilization of similar formation via edge-based clique addition. Autom. 173: 112084 (2025)
[j22]
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Kun Li, Yujuan Wang, Gangshan Jing, Yongduan Song, Lihua Xie:
Angle Rigidity-Based Communication-Free Adaptive Formation Control for Nonlinear Multiagent Systems With Prescribed Performance. IEEE Trans. Cybern. 55(2): 500-511 (2025)
2024
[j21]
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Kun Li, Zhixi Shen, Gangshan Jing, Yongduan Song:
Angle-constrained formation control under directed non-triangulated sensing graphs. Autom. 163: 111565 (2024)
[j20]
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Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty, Piyush K. Sharma:
Distributed Multiagent Reinforcement Learning Based on Graph-Induced Local Value Functions. IEEE Trans. Autom. Control. 69(10): 6636-6651 (2024)
[j19]
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Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty, Piyush K. Sharma:
Asynchronous Distributed Reinforcement Learning for LQR Control via Zeroth-Order Block Coordinate Descent. IEEE Trans. Autom. Control. 69(11): 7524-7539 (2024)
[j18]
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Gangshan Jing, Changhuang Wan, Ran Dai, Mehran Mesbahi:
Design and Transformation Control of Triangulated Origami Tessellation: A Network Perspective. IEEE Trans. Netw. Sci. Eng. 11(1): 635-647 (2024)
2022
[j17]
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Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty, Piyush K. Sharma:
Learning Distributed Stabilizing Controllers for Multi-Agent Systems. IEEE Control. Syst. Lett. 6: 301-306 (2022)
[j16]
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Gangshan Jing, Changhuang Wan, Ran Dai:
Angle-Based Sensor Network Localization. IEEE Trans. Autom. Control. 67(2): 840-855 (2022)
[j15]
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Changhuang Wan, Gangshan Jing, Ran Dai, Jeremy R. Rea:
Fuel-Optimal Guidance for End-to-End Human-Mars Entry, Powered-Descent, and Landing Mission. IEEE Trans. Aerosp. Electron. Syst. 58(4): 2837-2854 (2022)
2021
[j14]
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Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty:
Model-Free Optimal Control of Linear Multiagent Systems via Decomposition and Hierarchical Approximation. IEEE Trans. Control. Netw. Syst. 8(3): 1069-1081 (2021)
2020
[j13]
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Kaihong Lu, Gangshan Jing, Long Wang:
Distributed algorithms for solving the convex feasibility problems. Sci. China Inf. Sci. 63(8): 1-3 (2020)
[j12]
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Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty:
Model-Free Reinforcement Learning of Minimal-Cost Variance Control. IEEE Control. Syst. Lett. 4(4): 916-921 (2020)
[j11]
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Kaihong Lu, Gangshan Jing, Long Wang:
Online Distributed Optimization With Strongly Pseudoconvex-Sum Cost Functions. IEEE Trans. Autom. Control. 65(1): 426-433 (2020)
[j10]
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Gangshan Jing, Long Wang:
Multiagent Flocking With Angle-Based Formation Shape Control. IEEE Trans. Autom. Control. 65(2): 817-823 (2020)
[j9]
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Changhuang Wan, Gangshan Jing, Sixiong You, Ran Dai:
Sensor Network Localization via Alternating Rank Minimization Algorithms. IEEE Trans. Control. Netw. Syst. 7(2): 1040-1051 (2020)
2019
[j8]
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Gangshan Jing, Guofeng Zhang, Heung-Wing Joseph Lee, Long Wang:
Angle-based shape determination theory of planar graphs with application to formation stabilization. Autom. 105: 117-129 (2019)
[j7]
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Kaihong Lu, Gangshan Jing, Long Wang:
A distributed algorithm for solving mixed equilibrium problems. Autom. 105: 246-253 (2019)
[j6]
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Gangshan Jing, Long Wang:
Finite-Time Coordination Under State-Dependent Communication Graphs With Inherent Links. IEEE Trans. Circuits Syst. II Express Briefs 66-II(6): 968-972 (2019)
[j5]
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Kaihong Lu, Gangshan Jing, Long Wang:
Distributed Algorithms for Searching Generalized Nash Equilibrium of Noncooperative Games. IEEE Trans. Cybern. 49(6): 2362-2371 (2019)
2018
[j4]
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Gangshan Jing, Guofeng Zhang, Heung-Wing Joseph Lee, Long Wang:
Weak Rigidity Theory and Its Application to Formation Stabilization. SIAM J. Control. Optim. 56(3): 2248-2273 (2018)
[j3]
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Kaihong Lu, Gangshan Jing, Long Wang:
Distributed Algorithm for Solving Convex Inequalities. IEEE Trans. Autom. Control. 63(8): 2670-2677 (2018)
2017
[j2]
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Gangshan Jing, Yuanshi Zheng, Long Wang:
Consensus of Multiagent Systems With Distance-Dependent Communication Networks. IEEE Trans. Neural Networks Learn. Syst. 28(11): 2712-2726 (2017)
2014
[j1]
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Gangshan Jing, Yuanshi Zheng, Long Wang:
Flocking of multi-agent systems with multiple groups. Int. J. Control 87(12): 2573-2582 (2014)

Conference and Workshop Papers

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2022
[c6]
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Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty, Piyush K. Sharma:
Distributed Cooperative Multi-Agent Reinforcement Learning with Directed Coordination Graph. ACC 2022: 3273-3278
2021
[c5]
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Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty:
Decomposability and Parallel Computation of Multi-Agent LQR. ACC 2021: 4527-4532
[c4]
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Changhuang Wan, Gangshan Jing, Ran Dai, Ruike Zhao:
Local Shape-Preserving Formation Maneuver Control of Multi-agent Systems: From 2D to 3D. CDC 2021: 6251-6257
2019
[c3]
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Changhuang Wan, Sixiong You, Gangshan Jing, Ran Dai:
A Distributed Algorithm for Sensor Network Localization with Limited Measurements of Relative Distance. ACC 2019: 4677-4682
[c2]
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Gangshan Jing, Changhuang Wan, Ran Dai:
Angle Fixability and Angle-Based Sensor Network Localization. CDC 2019: 7899-7904
2017
[c1]
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  - conf/case/TianJW17
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Ye Tian, Gangshan Jing, Long Wang:
Opinion containment in social networks over issue sequences. CASE 2017: 1374-1379

Informal and Other Publications

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2023
[i13]
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  - journals/corr/abs-2303-02949
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Kun Li, Zhixi Shen, Gangshan Jing, Yongduan Song:
Angle-Constrained Formation Control under Directed Non-Triangulated Sensing Graphs (Extended Version). CoRR abs/2303.02949 (2023)
2022
[i12]
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  - journals/corr/abs-2201-04962
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Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty, Piyush K. Sharma:
Distributed Cooperative Multi-Agent Reinforcement Learning with Directed Coordination Graph. CoRR abs/2201.04962 (2022)
[i11]
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  - journals/corr/abs-2202-13046
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Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty, Piyush K. Sharma:
A Scalable Graph-Theoretic Distributed Framework for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2202.13046 (2022)
2021
[i10]
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  - journals/corr/abs-2103-04480
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Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty, Piyush K. Sharma:
Learning Distributed Stabilizing Controllers for Multi-Agent Systems. CoRR abs/2103.04480 (2021)
[i9]
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  - journals/corr/abs-2107-12416
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Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty, Piyush K. Sharma:
Asynchronous Distributed Reinforcement Learning for LQR Control via Zeroth-Order Block Coordinate Descent. CoRR abs/2107.12416 (2021)
2020
[i8]
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  - journals/corr/abs-2008-06604
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Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty:
Model-Free Optimal Control of Linear Multi-Agent Systems via Decomposition and Hierarchical Approximation. CoRR abs/2008.06604 (2020)
[i7]
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  - journals/corr/abs-2010-08615
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Gangshan Jing, He Bai, Jemin George, Aranya Chakrabortty:
Hierarchical Reinforcement Learning for Optimal Control of Linear Multi-Agent Systems: the Homogeneous Case. CoRR abs/2010.08615 (2020)
2019
[i6]
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  - journals/corr/abs-1912-01665
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Gangshan Jing, Changhuang Wan, Ran Dai:
Angle-Based Sensor Network Localization. CoRR abs/1912.01665 (2019)
2018
[i5]
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  - journals/corr/abs-1803-04276
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Gangshan Jing, Guofeng Zhang, Heung-Wing Joseph Lee, Long Wang:
Angle-based Shape Determination Theory of Planar Graphs with Application to Formation Stabilization. CoRR abs/1803.04276 (2018)
[i4]
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  - journals/corr/abs-1804-02795
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Gangshan Jing, Guofeng Zhang, Heung-Wing Joseph Lee, Long Wang:
Weak Rigidity Theory and its Application to Multi-agent Formation Stabilization. CoRR abs/1804.02795 (2018)
2016
[i3]
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Kaihong Lu, Gangshan Jing, Long Wang:
Distributed algorithms for solving convex inequalities. CoRR abs/1609.03161 (2016)
[i2]
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Kaihong Lu, Gangshan Jing, Long Wang:
Distributed Algorithms for Solving a Class of Convex Feasibility Problems. CoRR abs/1612.04913 (2016)
2014
[i1]
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Gangshan Jing, Yuanshi Zheng, Long Wang:
Consensus of Multi-agent Systems Under State-dependent Information Transmission. CoRR abs/1412.4927 (2014)

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