Gangshan Jing

Wan, C., Jing, G., Dai, R., & Rea, J. R. (2022). 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. https://doi.org/10.1109/TAES.2022.3141325

Jing, G., Bai, H., George, J., Chakrabortty, A., & Sharma, P. K. (2022). Learning Distributed Stabilizing Controllers for Multi-Agent Systems. IEEE CONTROL SYSTEMS LETTERS, 6, 301–306. https://doi.org/10.1109/LCSYS.2021.3072007

Jing, G., Bai, H., George, J., & Chakrabortty, A. (2021). Decomposability and Parallel Computation of Multi-Agent LQR. 2021 AMERICAN CONTROL CONFERENCE (ACC), pp. 4527–4532. https://doi.org/10.23919/ACC50511.2021.9483338

Wan, C., Jing, G., Dai, R., & Zhao, R. (2021). 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. https://doi.org/10.1109/CDC45484.2021.9683637

Jing, G., Bai, H., George, J., & Chakrabortty, A. (2021). Model-Free Optimal Control of Linear Multiagent Systems via Decomposition and Hierarchical Approximation. IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS, 8(3), 1069–1081. https://doi.org/10.1109/TCNS.2021.3074256

Jing, G., Bai, H., George, J., & Chakrabortty, A. (2020). Model-Free Reinforcement Learning of Minimal-Cost Variance Control. IEEE CONTROL SYSTEMS LETTERS, 4(4), 916–921. https://doi.org/10.1109/LCSYS.2020.2995547