Neural-network-based consensus of multiple Euler-Lagrange systems with an event-triggered mechanism

DOI10.1016/j.jfranklin.2021.08.033zbMath1472.93172OpenAlexW3198638639MaRDI QIDQ2235454

Sheng Li, Zhengrong Xiang, Wencheng Zou

Publication date: 21 October 2021

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

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2021.08.033

zbMATH Keywords

adaptive controlneural network approximationconsensusevent-triggered mechanismmultiple Euler-Lagrange systems

Mathematics Subject Classification ID

Adaptive control/observation systems (93C40) Discrete event control/observation systems (93C65) Multi-agent systems (93A16) Networked control (93B70) Consensus (93D50)

Related Items (5)

Distributed adaptive consensus protocol for heterogeneous nonlinear uncertain multi‐agent system with disturbance ⋮ Formation control scheme with reinforcement learning strategy for a group of multiple surface vehicles ⋮ Dynamic quantized control for switched fuzzy singularly perturbation systems with event-triggered protocol ⋮ Disturbance observer-based fixed-time leader-following consensus control for multiple Euler-Lagrange systems: a non-singular terminal sliding mode scheme ⋮ Event-triggered fully distributed asymptotic consensus for leaderless multiple Euler-Lagrange systems

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