Observer-based reinforcement learning for optimal fault-tolerant consensus control of nonlinear multi-agent systems via a dynamic event-triggered mechanism

Zhu, Boyan; Liang, Hongjing; Niu, Ben; Wang, Huanqing; Zhao, Ning; Zhao, Xudong

doi:10.1016/j.ins.2024.121350

Information Sciences

2025

DOI: 10.1016/j.ins.2024.121350

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Observer-based reinforcement learning for optimal fault-tolerant consensus control of nonlinear multi-agent systems via a dynamic event-triggered mechanism

Boyan Zhu,

Hongjing Liang,

Ben Niu

et al.

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Cited by 9 publications

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Observer-based reinforcement learning for optimal fault-tolerant consensus control of nonlinear multi-agent systems via a dynamic event-triggered mechanism

Cited by 9 publications

References 51 publications

Combination of Deep and Statistical Features of the Tissue of Pathology Images to Classify and Diagnose the Degree of Malignancy of Prostate Cancer

Combination of Deep and Statistical Features of the Tissue of Pathology Images to Classify and Diagnose the Degree of Malignancy of Prostate Cancer

Neural network-based adaptive reinforcement learning for optimized backstepping tracking control of nonlinear systems with input delay

Improvement of intrusion detection system in industrial Internet of Things based on deep learning with fog computing capability

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