Gangshan Jing
Electrical & Computer Engr.
https://orcid.org/0000-0003-0066-204X
multi-agent systems, formation control, reinforcement learning, network localization
Works (6)
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.
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
arxiv.org (repository)
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.
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.
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.
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.
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
