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• W4286306095 abstract "The purpose of this research is to solve the adaptive fuzzy cooperative control (AFCC) problem for nonlinear multiagent systems (MASs) with switching communication networks. First, the non-affine term of MASs is transformed into the corresponding affine term using the mean value theorem and the implicit function theorem. Then, an adaptive fuzzy controller with adjustable parameters is designed. The method of segmented multiple Lyapunov function with topology dependent average dwell time (TDADT) can ensure the cooperative control of agents. Furthermore, in the case of switching topology, not only are all closed-loop signals bounded, but all followers can track the leader. Finally, the results of simulation examples show that the adaptive law control method is available." @default.
• W4286306095 created "2022-07-21" @default.
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• W4286306095 date "2022-05-04" @default.
• W4286306095 modified "2023-09-24" @default.
• W4286306095 title "Adaptive fuzzy cooperative control for multiple non-affine nonlinear leader-following systems under switching communication networks" @default.
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• W4286306095 doi "https://doi.org/10.23919/ascc56756.2022.9828163" @default.
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