Quantized Consensus by Means of Gossip Algorithm
From MaRDI portal
Publication:5352669
DOI10.1109/TAC.2011.2160593zbMath1369.68345DBLPjournals/tac/LavaeiM12OpenAlexW2054004314WikidataQ59813918 ScholiaQ59813918MaRDI QIDQ5352669
Richard M. Murray, Javad Lavaei
Publication date: 8 September 2017
Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1109/tac.2011.2160593
Small world graphs, complex networks (graph-theoretic aspects) (05C82) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Distributed algorithms (68W15)
Related Items (16)
Edge agreement of second-order multi-agent system with dynamic quantization via the directed edge Laplacian ⋮ An approach to quantized consensus of continuous-time linear multi-agent systems ⋮ Quantised near-consensus via quantised communication links ⋮ Distributed parameter estimation in unreliable sensor networks via broadcast gossip algorithms ⋮ Consensus in time-delayed multi-agent systems with quantized dwell times ⋮ Gossip based asynchronous and randomized distributed task assignment with guaranteed performance on heterogeneous networks ⋮ Fast discrete consensus based on gossip for makespan minimization in networked systems ⋮ Quantized consensus on first-order integrator networks ⋮ Convergence time analysis of quantized gossip consensus on digraphs ⋮ Quantized iterative learning control for nonlinear multi-agent systems with limited information communication and input saturation ⋮ Distributed subgradient method for multi-agent optimization with quantized communication ⋮ Average consensus on general strongly connected digraphs ⋮ Gossip consensus algorithms via quantized communication ⋮ Consensus networks with time-delays over finite fields ⋮ Distributed learning of average belief over networks using sequential observations ⋮ Non-oscillating quantized average consensus over dynamic directed topologies
This page was built for publication: Quantized Consensus by Means of Gossip Algorithm