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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Xihong Fei

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4 papers indexed here

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Sep 2026

Data‐Driven Consensus for Markov Jump Singularly Perturbed Multi‐Agent Systems: A Novel Parallel Hybrid Learning Scheme

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. · 0 citations
#reinforcement learning Open access Sep 2026

Multi-scale physics-informed reinforcement learning method for bearing fault diagnosis under data scarcity

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. · 0 citations
Aug 2026

Dynamic wavelet optimization and hierarchical reinforcement learning for fault diagnosis in wind turbines under variable operating conditions

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. · 4 citations
Jul 2026

EFEM-YOLO: an efficient feature extraction network for surface defect detection of photovoltaic cell

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. · 0 citations

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