Year of Graduation
Analysis of Stochastic Consensus Problems with Unreliable Nodes
The paper studies consensus models in networks with unreliable nodes. The convergence of the model to consensus is proved using methods of the matrix theory and the stochastic process. In the work we implemented algorithms to simulate the dynamics of the system. It was analyzed results of computer simulations.