Zejian Zhou

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 19

Top Topics

Pursuit Evasion

Reinforcement Learning

Tracking Control

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Ziqi Wang, Xiangjie Zhou, Zejian Zhou, Yan Zhang, Yuru Zhang, Dangxiao Wang
MateJam: Multi-Material Teeth-Clutching Layer Jamming Actuation for Soft Haptic Glove. IEEE Trans. Haptics 16 (2) (2023)
Zejian Zhou, Hao Xu
A Novel Mean-Field-Game-Type Optimal Control for Very Large-Scale Multiagent Systems. IEEE Trans. Cybern. 52 (6) (2022)
Zejian Zhou, Hao Xu
Decentralized optimal large scale multi-player pursuit-evasion strategies: A mean field game approach with reinforcement learning. Neurocomputing 484 (2022)
Zejian Zhou, Hao Xu
Large-Scale Multiagent System Tracking Control Using Mean Field Games. IEEE Trans. Neural Networks Learn. Syst. 33 (10) (2022)
Zejian Zhou, Yuzhu Zhang, Hao Xu
Reinforcement Learning-based Decentralized Optimal Control for Large-Scale Multi-agent System by Using Neural Networks and Discrete-time Mean Field Games. IJCNN (2021)
Zejian Zhou, Yingmeng Xiang, Hao Xu, Yishen Wang, Di Shi, Zhiwei Wang
Self-organizing probability neural network-based intelligent non-intrusive load monitoring with applications to low-cost residential measuring devices. Trans. Inst. Meas. Control 43 (3) (2021)
Zejian Zhou, Hao Xu
Decentralized Adaptive Optimal Tracking Control for Massive Autonomous Vehicle Systems With Heterogeneous Dynamics: A Stackelberg Game. IEEE Trans. Neural Networks Learn. Syst. 32 (12) (2021)
Zejian Zhou, Hao Xu
Decentralized Optimal Multi-agent System Tracking Control Using Mean Field Games with Heterogeneous Agent. CCTA (2021)
Zejian Zhou, Yingmeng Xiang, Hao Xu, Zhehan Yi, Di Shi, Zhiwei Wang
A Novel Transfer Learning-Based Intelligent Nonintrusive Load-Monitoring With Limited Measurements. IEEE Trans. Instrum. Meas. 70 (2021)
Zejian Zhou, Hao Xu
Decentralized Optimal Tracking Control for Large-scale Multi-Agent Systems under Complex Environment: A Constrained Mean Field Game with Reinforcement Learning Approach. CCTA (2021)
Zejian Zhou, Hao Xu
Mean Field Game and Decentralized Intelligent Adaptive Pursuit Evasion Strategy for Massive Multi-Agent System under Uncertain Environment. ACC (2020)
Zejian Zhou, Hao Xu
Mean Field Game and Decentralized Intelligent Adaptive Pursuit Evasion Strategy for Massive Multi-Agent System under Uncertain Environment. CoRR (2020)
Zejian Zhou, Hao Xu
Biologically Inspired Decentralized Adaptive Optimal Tracking Control For Large Scale Multi-Agent Systems with Input Constraint. ICCA (2020)
Zejian Zhou, Lijun Qian, Hao Xu
Intelligent Decentralized Dynamic Power Allocation in MANET at Tactical Edge based on Mean-Field Game Theory. MILCOM (2019)
Zejian Zhou, Hao Xu
Decentralized Adaptive Optimal Tracking Control for Massive Multi-Agent Systems with Input Constraint. SSCI (2019)
Zejian Zhou, Hao Xu
Decentralized Adaptive Optimal Tracking Control for Massive Multi-agent Systems: An Actor-Critic-Mass Algorithm. CDC (2019)
Zejian Zhou, Hao Xu
Decentralized Adaptive Optimal Control for Massive Multi-agent Systems Using Mean Field Game with Self-Organizing Neural Networks. CDC (2019)
Zejian Zhou, Hao Xu
Deep Reinforcement Learning Based Intelligent Decision Making for Two-player Sequential Game with Uncertain Irrational Player. SSCI (2019)
Zejian Zhou, Hao Xu
Switching Deep Reinforcement Learning based Intelligent Online Decision Making for Autonomous Systems under Uncertain Environment. SSCI (2018)