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- W1484652515 abstract "This paper studies the leader-following consensus problem of general multi-agent systems, in which dynamics of all agents are affected by unknown nonlinear dynamics. By parameterizing the unknown nonlinear terms, a distributed adaptive consensus algorithm is proposed for each follower agent. With a modified labeling rule, consensus analysis is conducted for the multi-agent systems with jointly connected topology based on algebraic graph theory and Lyapunov theory. Finally, a simulation example is provided to validate the theoretical results." @default.
- W1484652515 created "2016-06-24" @default.
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- W1484652515 date "2015-05-01" @default.
- W1484652515 modified "2023-09-23" @default.
- W1484652515 title "Adaptive leader-following consensus of nonlinear multi-agent systems with jointly connected topology" @default.
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- W1484652515 doi "https://doi.org/10.1109/ccdc.2015.7161665" @default.
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