Abstract
We solve the robust synchronization problem for a network of interrelated dynamical objects with distributed delay, when each object receives a synchronizing signal. We assume that parameters of the network's mathematical model are unknown, and only output variables are subject to measurement. We obtain decentralized synchronization algorithms that let us compensate for prior uncertainty and significantly reduce the influence of unmeasurable external bounded perturbations on output variables. We give a numerical example and modeling results.
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