doi:10.1109/LCSYS.2023.3289483engSebastián, EduardoMontijano, EduardoSagüés, CarlosFranceschelli, MauroGasparri, AndreaAccelerated Multi-Stage Discrete Time Dynamic Average ConsensusART-2023-135893This letter presents a novel solution for the discrete time dynamic average consensus problem. Given a set of time-varying input signals over the nodes of an undirected graph, the proposed algorithm tracks, at each node, the input signals’ average. The algorithm is based on a sequence of consensus stages combined with a second order diffusive protocol. The former overcomes the need of k-th order differences of the inputs and conservation of the network state average, while the latter overcomes the trade-off between speed and accuracy of the consensus stages by just storing the previous estimate at each node. The result is a protocol that is fast, arbitrarily accurate, and robust against input noises and initializations. The protocol is extended to an asynchronous and randomized version that follows a gossiping scheme that is robust against potential delays and packet losses. We study the convergence properties of the algorithms and validate them via simulations.2023http://zaguan.unizar.es/record/12967310.1109/LCSYS.2023.3289483http://zaguan.unizar.es/record/129673oai:zaguan.unizar.es:129673IEEE Control Systems Letters 7 (2023), 2731-2736All rights reservedhttp://www.europeana.eu/rights/rr-f/info:eu-repo/semantics/openAccess