Communication constraints in the average consensus problem
Automatica (Journal of IFAC)
Continuous-Time Average-Preserving Opinion Dynamics with Opinion-Dependent Communications
SIAM Journal on Control and Optimization
IEEE Transactions on Information Theory
Randomized consensus algorithms over large scale networks
IEEE Journal on Selected Areas in Communications
Discontinuous Galerkin method for Krause's consensus models and pressureless Euler equations
Journal of Computational Physics
Opinion consensus of modified Hegselmann-Krause models
Automatica (Journal of IFAC)
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In this paper we analyze a class of multiagent consensus dynamical systems inspired by Krause's original model. As in Krause's model, the basic assumption is the so-called bounded confidence: two agents can influence each other only when their state values are below a given distance threshold $R$. We study the system under an Eulerian point of view considering (possibly continuous) probability distributions of agents, and we present original convergence results. The limit distribution is always necessarily a convex combination of delta functions at least $R$ far apart from each other: in other terms these models are locally aggregating. The Eulerian perspective provides the natural framework for designing a numerical algorithm, by which we obtain several simulations in $1$ and $2$ dimensions.