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Sep 2026

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

A model‐based parallel hybrid learning method is developed for multi‐agent systems to obtain fast convergence speed and meet the stability requirement for initial policy and a model‐free parallel hybrid learning framework is proposed, which solely relies on state and control input data from each agent and its neighbori...

Qing Yang, Xi-Hong Fei, Jing Wang et al. · 0 citations
Oct 2026

Secure Consensus for Multiagent Systems Under False Data Injection Attacks: A Hybrid Reinforcement Learning Scheme

This work addresses the problem of secure consensus in heterogeneous multiagent systems (MASs) under false data injection attacks (FDIAs). To balance the impact of malicious attacks against system performance, an $H_{\infty }$ consensus control scheme is developed, which treats attacks as worst case disturbances, atten...

Senyu Bao, Jin-Xu Liu, Jia-Cheng Wu 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

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