Gangshan Jing

multi-agent systems, formation control, reinforcement learning, network localization

Works (6)

Updated: July 5th, 2023 14:42

2022 journal article

Fuel-Optimal Guidance for End-to-End Human-Mars Entry, Powered-Descent, and Landing Mission

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 58(4), 2837–2854.

By: C. Wan*, G. Jing n, R. Dai* & J. Rea

author keywords: Convex functions; Optimal control; Convergence; Computational modeling; Aerodynamics; Programming; Mars; Alternating direction method of multipliers (ADMM); human-Mars entry; powered-descent; and landing (EDL); trajectory optimization
Sources: Web Of Science, ORCID
Added: October 24, 2022

2022 journal article

Learning Distributed Stabilizing Controllers for Multi-Agent Systems

IEEE CONTROL SYSTEMS LETTERS, 6, 301–306.

author keywords: Heuristic algorithms; Multi-agent systems; Power system dynamics; Approximation algorithms; Damping; System dynamics; Regulators; Reinforcement learning; linear quadratic regulator; optimal distributed control; multi-agent systems
Sources: Web Of Science, ORCID
Added: July 19, 2021

2021 article

Decomposability and Parallel Computation of Multi-Agent LQR

2021 AMERICAN CONTROL CONFERENCE (ACC), pp. 4527–4532.

By: G. Jing n, H. Bai*, J. George* & A. Chakrabortty n

author keywords: Reinforcement learning; linear quadratic regulator; multi-agent systems; decomposition
Sources: Web Of Science, ORCID
Added: November 1, 2021

2021 article

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

2021 60TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), pp. 6251–6257.

By: C. Wan*, G. Jing n, R. Dai* & R. Zhao*

author keywords: Formation control; rigidity theory; multi-agent systems
Sources: Web Of Science, ORCID
Added: May 31, 2022

2021 journal article

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

IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS, 8(3), 1069–1081.

By: G. Jing n, H. Bai*, J. George* & A. Chakrabortty n

author keywords: Decomposition; hierarchical control; large-scale networks; linear quadratic regulator (LQR); model-free reinforcement learning (RL)
Sources: Web Of Science, ORCID
Added: October 4, 2021

2020 journal article

Model-Free Reinforcement Learning of Minimal-Cost Variance Control

IEEE CONTROL SYSTEMS LETTERS, 4(4), 916–921.

By: G. Jing n, H. Bai*, J. George* & A. Chakrabortty n

author keywords: Mathematical model; Heuristic algorithms; Stochastic processes; Iterative methods; Riccati equations; Computational complexity; Optimal control; Reinforcement learning; stochastic dynamic systems; variance control; coupled Riccati equations
Sources: Web Of Science, ORCID
Added: July 13, 2020

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