Neural-network-based adaptive quasi-consensus of nonlinear multi-agent systems with communication constrains and switching topologies

DOI10.1016/j.nahs.2019.100833zbMath1441.93272OpenAlexW2982466673MaRDI QIDQ2304065

Liu Jing, Wang Ying, Hongjie Li, Jingjun Zhang

Publication date: 6 March 2020

Published in: Nonlinear Analysis. Hybrid Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.nahs.2019.100833

zbMATH Keywords

neural networksmulti-agent systemsadaptive approximationadaptive intermittent controlquasi-consensus

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Multi-agent systems (93A16) Networked control (93B70) Consensus (93D50)

Related Items (8)

Finite-time fault tolerant neural control of nonlinear multi-agent systems under switching topologies ⋮ Event-based leader-follower consensus of nonlinear multi-agent systems under denial-of-service ⋮ Data-driven control of consensus tracking for discrete-time multi-agent systems ⋮ Distributed impulsive control consensus for a class of unknown nonlinear multi-agent systems based on event-triggered scheme ⋮ Observer-based output feedback event-triggered bounded consensus of multi-agent systems under DoS attacks ⋮ Event-triggered group consensus for one-sided Lipschitz multi-agent systems with input saturation ⋮ Distributed data driven control for multi-agent consensus with unknown system dynamics ⋮ A networked predictive controller for linear multi-agent systems with communication time delays

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