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• W2756310787 abstract "In this paper, we study the iterative learning control (ILC) method for nonlinear multi-agent system (MAS) to reach finite-time synchronization under the directed communication graph. We propose the distributed D — type iterative learning control for system whose nonlinear function satisfies the global lipschitz continuous when the graph has a spinning tree. By choosing the parameter γ ∊ [0,1], the γ-adaptive iterative learning control rule (γ-AILC) can deal with the case of identical initial condition or alignment condition. In the end, Simulations are provided to illustrate the results." @default.
• W2756310787 created "2017-09-25" @default.
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• W2756310787 date "2017-07-01" @default.
• W2756310787 modified "2023-09-26" @default.
• W2756310787 title "Finite-time synchronization for nonlinear multi-agent system with directed structure by iterative learning control" @default.
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• W2756310787 doi "https://doi.org/10.23919/chicc.2017.8028712" @default.
• W2756310787 hasPublicationYear "2017" @default.
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