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• W2906915511 abstract "This paper is concerned with the tracking control problem for nonlinear heterogeneous multi-agent systems with a static leader, where the leader’s state is only available to a small portion of follower agents. The considered multi-agent system is composed of first- and second-order follower agents with unknown nonlinearities and unknown disturbances, and the communication graph of follower agents is fixed and directed. A robust adaptive neural network controller is designed for each follower agent. By applying the Lyapunov theory with the singular value analysis method, it is shown that all follower agents will synchronize to the leader agent with bounded residual errors. A numerical example is presented to demonstrate the effectiveness of the theoretical findings." @default.
• W2906915511 created "2019-01-11" @default.
• W2906915511 creator A5006014871 @default.
• W2906915511 creator A5014312280 @default.
• W2906915511 date "2019-03-01" @default.
• W2906915511 modified "2023-10-17" @default.
• W2906915511 title "Adaptive tracking control for nonlinear heterogeneous multi-agent systems with unknown dynamics" @default.
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• W2906915511 doi "https://doi.org/10.1016/j.jfranklin.2018.12.003" @default.
• W2906915511 hasPublicationYear "2019" @default.
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