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This paper investigates adaptive flocking of multi-agent systems (MASs) with a virtual leader. All agents and the virtual leader share the same intrinsic nonlinear dynamics, which satisfies a locally Lipschitz condition and depends on both position and velocity information of the agent itself. Under the assumption that the initial network is connected, an approach to preserving the connectivity of...
This paper introduces a model that agents use an information updating rule combining non-Bayesian learning and Bayesian learning in a social network. Signals from some distinguishing individuals aggregate through the network so that every agent could collect enough information about the true state. The observation from expert Bayesian agents will drive the average belief of the true state in the network...
In this paper, we investigate two kinds of second-order consensus algorithms for multiple agents with coupling delay under general fixed directed information topology. Stability analysis is performed based on Lyapunov-Krasovskii functional method. Delay-dependent asymptotical stability condition in terms of linear matrix inequalities (LMIs) is derived for the second-order consensus algorithm of delayed...
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