Adaptive bipartite output consensus for heterogeneous multi-agent systems with quantized information: a fixed-time approach

DOI10.1016/J.JFRANKLIN.2021.07.009zbMath1471.93254OpenAlexW3184806923MaRDI QIDQ2230847

Huaicheng Yan, Lili Hao, Tao Han, Xi-Sheng Zhan

Publication date: 28 September 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.2021.07.009

zbMATH Keywords

output consensusheterogeneous linear multi-agent systemsadaptive fixed-time output consensus

Mathematics Subject Classification ID

Adaptive control/observation systems (93C40) Linear systems in control theory (93C05) Multi-agent systems (93A16) Consensus (93D50)

Related Items (6)

Bipartite consensus tracking problem of networked Lagrangian system with intermittent interactions ⋮ Dynamic event-triggered adaptive semi-global bipartite consensus of linear multi-agent systems with input saturation under fixed and switching topologies ⋮ Quantized-data resource allocation for reinforcement learning cooperative control of networked Euler-Lagrange agents with input saturation ⋮ Distributed fixed-time and prescribed-time average consensus for multi-agent systems with energy constraints ⋮ Quantized iterative learning control for nonlinear multi-agent systems with limited information communication and input saturation ⋮ Bipartite containment control for multiagent systems with adaptive quantization information

Cites Work

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• Modified tracking performance limitation of networked time-delay systems with two-channel constraints
• The adaptive distributed observer approach to the cooperative output regulation of linear multi-agent systems
• The Leader-Following Consensus for Multiple Uncertain Euler-Lagrange Systems With an Adaptive Distributed Observer
• Output Consensus of Heterogeneous Linear Multi-Agent Systems with Adaptive Event-Triggered Control
• Consensus Problems on Networks With Antagonistic Interactions
• Optimal tracking performance of MIMO discrete‐time systems with communication constraints

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