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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
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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