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Consensus theory is the foundation of multi-agent cooperation and coordination, which has received more and more attention from researchers in various fields. However, the previous control laws use only local information of the intelligent individual surrounding, which is often suboptimal. This paper introduces the state predictor, applies Consensus theory with state predictor to the study on consensus...
In this paper, we consider the synchronization of continuous multi-agent systems. We study two control protocols, without or with control input information from neighbors, and demonstrate the advantages and better performance of the latter protocol. In order to address possible communication delays for transmission of input signals, a control protocol based on delayed input information is also investigated...
This paper investigates accelerated gossip algorithms for distributed computations in networks where shift-registers are utilized at each node. By using tools from matrix analysis, we prove the existence of the desired acceleration and establish the fastest rate of convergence in expectation for two-register symmetric gossip. Some classes of networks with regular graph topologies are studied in detail...
In this paper, we present a distributed average-consensus algorithm with non-linear updates. In particular, we use a weighted combination of the sine of the state differences among the nodes as a consensus update instead of the conventional linear update that just includes a weighted combination of the state differences. We show the non-linear average-consensus converges to the initial average under...
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