Data-driven leader-following consensus for nonlinear multi-agent systems against composite attacks: a twins layer approach

DOI10.1016/j.jfranklin.2024.107067zbMath1544.93466MaRDI QIDQ6601159

Xin Gong, Zhipeng Zhang, Jun Shen

Publication date: 10 September 2024

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

zbMATH Keywords

nonlinear multi-agent systemsleader-following consensusdata-drivencyber attacksmodel-free adaptive controltwin layer

Mathematics Subject Classification ID

Sampled-data control/observation systems (93C57) Multi-agent systems (93A16) Consensus (93D50)

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