Observer-Based Distributed Time-Varying Group Formation Control for Heterogeneous Linear Systems under Directed Topology. - Chongjian Zhou; Man Li 002; Weiming Fu; Yu Kang 001; Jiahu Qin (ICARM, 2019)

Two-Player Stackelberg Game for Linear System via Value Iteration Algorithm. - Man Li 002; Jiahu Qin; Lei Ding (ISIE, 2019)

Optimal Synchronization Control of Multiagent Systems With Input Saturation via Off-Policy Reinforcement Learning. - Jiahu Qin; Man Li 002; Yang Shi 001; Qichao Ma; Wei Xing Zheng 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Distributed time-varying group formation control for generic linear systems with observer-based protocols. - Man Li 002; Qichao Ma; Chongjian Zhou; Jiahu Qin; Yu Kang 001 (Neurocomputing, 2020)

Model-Free Design of Stochastic LQR Controller from Reinforcement Learning and Primal-Dual Optimization Perspective. - Man Li 002; Jiahu Qin; Wei Xing Zheng 001; Yaonan Wang 001; Yu Kang 001 (CoRR, 2021)

Semiglobal Cluster Consensus for Heterogeneous Systems With Input Saturation. - Lu Ren; Man Li 002; Changyin Sun 001 (IEEE Trans. Cybern., 2021)

Hierarchical Optimal Synchronization for Linear Systems via Reinforcement Learning: A Stackelberg-Nash Game Perspective. - Man Li 002; Jiahu Qin; Qichao Ma; Wei Xing Zheng 001; Yu Kang 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Model-free design of stochastic LQR controller from a primal-dual optimization perspective. - Man Li 002; Jiahu Qin; Wei Xing Zheng 001; Yaonan Wang 001; Yu Kang 001 (Autom., 2022)

Multiplayer Stackelberg-Nash Game for Nonlinear System via Value Iteration-Based Integral Reinforcement Learning. - Man Li 002; Jiahu Qin; Nikolaos M. Freris; Daniel W. C. Ho (IEEE Trans. Neural Networks Learn. Syst., 2022)

Bio-Inspired Dynamic Collective Choice in Large-Population Systems: A Robust Mean-Field Game Perspective. - Man Li 002; Jiahu Qin; Yaonan Wang 001; Yu Kang 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Model-Free Reinforcement Learning for Fully Cooperative Consensus Problem of Nonlinear Multiagent Systems. - Hong Wang; Man Li 002 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Ensuring Safety in LLM-Driven Robotics: A Cross-Layer Sequence Supervision Mechanism. - Ziming Wang; Qingchen Liu; Jiahu Qin; Man Li 002 (IROS, 2024)

Towards invariant extended Kalman filter-based resilient distributed state estimation for moving robots over mobile sensor networks under deception attacks. - Cong Zhang; Jiahu Qin; Chengzhen Yan; Yang Shi 001; Yaonan Wang 001; Man Li 002 (Autom., 2024)

SRL-ORCA: A Socially Aware Multi-Agent Mapless Navigation Algorithm in Complex Dynamic Scenes. - Jianmin Qin; Jiahu Qin; Jiaxin Qiu; Qingchen Liu; Man Li 002; Qichao Ma (IEEE Robotics Autom. Lett., 2024)

Game-Based Approximate Optimal Motion Planning for Safe Human-Swarm Interaction. - Man Li 002; Jiahu Qin; Jiacheng Li; Qingchen Liu; Yang Shi 001; Yu Kang 001 (IEEE Trans. Cybern., 2024)

Differential Game-Based Control for Nonlinear Human-Robot Interaction System With Unknown Desired Trajectory. - Kang Tong; Man Li 002; Jiahu Qin; Qichao Ma; Jie Zhang 110; Qingchen Liu (IEEE Trans. Cybern., 2024)

Master-Slave Safe Cooperative Tracking via Game and Learning-Based Shared Control. - Man Li 002; Jiahu Qin; Qichao Ma; Yang Shi 001; Wei Xing Zheng 001 (IEEE Trans. Autom. Control., 2025)

IDSI-SO: A Multiagent Safe Reinforcement Learning Navigation Based on Threat Assessment in Complex Dynamic Environments. - Jianmin Qin; Jiahu Qin; Jiaxin Qiu; Qichao Ma; Qingchen Liu; Man Li 002 (IEEE Trans. Ind. Electron., 2025)