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Guanghui Wen
H指数:83
被引数:2.3万
个人简介
Received the Ph.D. degree in mechanical systems and control from Peking University, Beijing, China, in 2012. Currently, the scholar is an Endowed Chair Professor and Vice Dean with the School of Automation, Southeast University, Nanjing, China. Research interests include autonomous intelligent systems, complex networked systems, distributed control and optimization, resilient control, and distributed reinforcement learning. The scholar was the recipient of the National Science Fund for Distinguished Young Scholars, the China Youth Science and Technology Award, and the Asian Journal of Control. Since 2018, the scholar has been named a Highly Cited Researcher by Clarivate Analytics and is an IET Fellow.
教育背景
2012.12
Peking University Ph.D. mechanical systems and control
工作经历
暂无内容
荣誉奖项
- National Science Fund for Distinguished Young Scholars
- China Youth Science and Technology Award
- Australian Research Council Discovery Early Career Researcher Award｜Australian Research Council
- Asia Pacific Neural Network Society Young Researcher Award｜Asia Pacific Neural Network Society
- Highly Cited Researcher（2018）｜Clarivate Analytics
- IET Fellow｜IET
WA-CBF-GVF: 固定翼无人机在低空山地风扰动下的路径跟踪控制
基于角度的无 leader 成形机动与全局收敛
Automatica
IF5.9
针对时变有向网络分布式在线优化的混合随机梯度跟踪方法
LLM-RDO：基于大语言模型指导的规则动态优化用于时序知识图谱推理
不确定非线性多智能体系统在有向拓扑下渐近一致性的新型神经网络自适应方法
多智能体系统的分布式安全一致跟踪：从渐近收敛到有限/固定时间收敛
在聚合博弈中基于有向通信网络的指定时间分布式纳什均衡搜索
二阶多智能体系统的有限时间鲁棒优化
端到端自主导航：一种基于深度展开和强化学习的方法
面向非对称网络的车辆物联网的去中心化联邦学习
通信高效的分布式在线非凸优化问题求解：时变约束下的研究
针对定向隐蔽攻击的无人机鲁棒路径规划
混合C-LSTM神经网络架构：用于变湍流条件下固定翼AAV的实时自适应控制
基于观测器的自适应预定性能控制，用于存在执行器故障和混合死区-饱和约束的车辆编队
基于仅评论者强化学习的多ASV系统通信链路不确定性下的编队跟踪控制
非线性多智能体系统预定时稳定性最优时变包容控制
基于高斯混合模型的高概率安全学习型模型预测控制
基于混合图规划与定时自动机验证的安全保障ASV导航决策支持
