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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Bibliografiska uppgifter

Huvudupphov:	Kaustav Jyoti Borah, Krishna Dev Kumar
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	IEEE 2023-01-01
Serie:	IEEE Access
Ämnen:	Multi-agent systems uncertain dynamics reinforcement learning and non-linear filtering Chebyshev neural networks control communication faults
Länkar:	https://ieeexplore.ieee.org/document/10265009/
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