In this article, a novel parallel hybrid learning method is applied to tackle the optimal consensus problem of singularly perturbed multi‐agent systems with Markov jump parameters. First, a distributed optimization scheme applied in multi‐agent systems is proposed. The optimal consensus problem of multi‐agent systems...
Qing Yang, Xi-Hong Fei, Jing Wang et al.· International Journal of Rob...· 0 citations
A novel multi-scale physics-informed neural network with enhanced reinforcement learning (MPINN-ERL) for bearing fault diagnosis under data scarcity and achieves competitive diagnostic accuracy.
Xin Xia, Xi-Hong Fei, Kang Wang et al.· Structural Health Monitoring· 0 citations
Experimental results show that the proposed dynamic wavelet optimisation and hierarchical reinforcement learning method outperforms state-of-the-art methods in both performance and reliability.
Jintian Sun, Xi-Hong Fei, Zhen Xu et al.· Nondestructive Testing and E...· 4 citations
Stable operation of photovoltaic (PV) cells is crucial for reliable and efficient electricity generation in power systems. However, their poor defect characterization, large size variation, and high background noise lead to low automatic identification accuracy. In this paper, a YOLO-based network with an efficient fea...
Yuan-Song Xiang, Xi-Hong Fei, Tian Fang et al.· Engineering Research Express· 0 citations
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