Consensus Tracking of Multi-Agent Systems in Presence of Uncertain Dynamics and Communications Faults

Consensus Tracking of Multi-Agent Systems in Presence of Uncertain Dynamics and Communications Faults

In this paper, the problem of consensus tracking of uncertain multi-agent systems (MAS) with communication faults is addressed. The communication is assumed to be undirected. A reinforced unscented Kalman filter (RUKF) is employed to adapt the noise covariance matrices and to estimate the uncertain...

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Bibliographic Details
Main Authors: Kaustav Jyoti Borah, Krishna Dev Kumar
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Multi-agent systems
uncertain dynamics
reinforcement learning and non-linear filtering
Chebyshev neural networks
control
communication faults
Online Access:https://ieeexplore.ieee.org/document/10265009/

Internet

https://ieeexplore.ieee.org/document/10265009/

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