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This paper demonstrates that the idea of iterative learning control (ILC) can be applied to deal with the consensus problems for multi-agent systems. All agents are considered in directed networks and with higher-order discrete dynamics. It is shown that the multi-agent system can be enabled to achieve consensus at any desired state, and its process can be guaranteed to converge monotonically by selecting...
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