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• W2965283194 abstract "The paper is concerned with the containment problem of a multi-agent system with each agent being described by an Euler–Lagrange (EL) equation with uncertain parameters. Distributed adaptive control laws are proposed such that the generalised positions of the EL systems converge to the target convex set without measuring or observing neighbours' velocities. Moreover, exponential rate convergence is obtained when the regressor matrix of each EL system is of full column rank. As a byproduct, some of the uncertain parameters existing in the EL systems can be identified under the full column rank condition. Finally, the effectiveness of the proposed method is validated through the simulations on a group of networked uncertain robots." @default.
• W2965283194 created "2019-08-13" @default.
• W2965283194 creator A5057092809 @default.
• W2965283194 date "2019-07-25" @default.
• W2965283194 modified "2023-10-01" @default.
• W2965283194 title "Distributed adaptive containment control for networked uncertain Euler–Lagrange systems" @default.
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• W2965283194 doi "https://doi.org/10.1080/00207721.2019.1645917" @default.
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