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Social learning focuses on the opinion dynamics in the society, which has attracted more and more researchers recently. Different from the existing results on the consensus of social learning in complex networks with one true state, in this paper we study the social learning in the network society with multi-true-states. A new network social learning model is constructed, where agents from different...
In this paper, we propose a decentralized adaptive pinning control scheme for synchronization of undirected networks using a local adaptive strategy to determine both coupling strengths and feedback gains. By applying this local adaptive strategy, we show that the network can achieve synchronization with small coupling strengths and feedback gains. We provide some simulations to verify and illustrate...
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