Abstract
This article briefly discusses the topic of multi-agent consensus under imperfect communication channels including limited data rate, additive noises, and packet dropouts. The focus is on the design of encoders, decoders, and distributed control protocols so that the multi-agent system can reach consensus.
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Bibliography
Carli R, Fagnani F, Frasca P, Taylor T, Zampieri S (2007a) Average consensus on networks with transmission noise or quantization. In: 2007 European control conference (ECC). IEEE, pp 1852–1857
Carli R, Fagnani F, Frasca P, Zampieri S (2007b) Efficient quantized techniques for consensus algorithms. In: NeCST workshop, Nancy, France Nancy
Cheng L, Hou ZG, Tan M, Wang X (2011) Necessary and sufficient conditions for consensus of double-integrator multi-agent systems with measurement noises. IEEE Trans Autom Control 56(8):1958–1963
Cheng L, Hou ZG, Tan M (2014) A mean square consensus protocol for linear multi-agent systems with communication noises and fixed topologies. IEEE Trans Autom Control 59(1):261–267
Cheng L, Wang Y, Ren W, Hou ZG, Tan M (2016) On convergence rate of leader-following consensus of linear multi-agent systems with communication noises. IEEE Trans Autom Control 61(11):3586–3592
Huang M, Manton JH (2010) Stochastic consensus seeking with noisy and directed inter-agent communication: fixed and randomly varying topologies. IEEE Trans Autom Control 55(1):235–241
Huang M, Dey S, Nair GN, Manton JH (2010) Stochastic consensus over noisy networks with markovian and arbitrary switches. Automatica 46(10):1571–1583
Kar S, Moura JM (2009) Distributed consensus algorithms in sensor networks: quantized data and random link failures. IEEE Trans Signal Process 58(3):1383–1400
Li D, Liu Q, Wang X, Yin Z (2014) Quantized consensus over directed networks with switching topologies. Syst Control Lett 65:13–22
Li T, Xie L (2012) Distributed coordination of multi-agent systems with quantized-observer based encoding-decoding. IEEE Trans Autom Control 57(12):3023–3037
Li T, Zhang JF (2010) Consensus conditions of multi-agent systems with time-varying topologies and stochastic communication noises. IEEE Trans Autom Control 55(9):2043–2057
Li T, Fu M, Xie L, Zhang JF (2010) Distributed consensus with limited communication data rate. IEEE Trans Autom Control 56(2):279–292
Qiu Z, Xie L, Hong Y (2016) Quantized leaderless and leader-following consensus of high-order multi-agent systems with limited data rate. IEEE Trans Autom Control 61(9):2432–2447
Qiu Z, Xie L, Hong Y (2017) Data rate for distributed consensus of multi-agent systems with high-order oscillator dynamics. IEEE Trans Autom Control 11(62):6065–6072
Tahbaz-Salehi A, Jadbabaie A (2008) A necessary and sufficient condition for consensus over random networks. IEEE Trans Autom Control 53(3):791–795
Tang H, Li T (2015) Continuous-time stochastic consensus: stochastic approximation and kalman–bucy filtering based protocols. Automatica 61:146–155
Wang Y, Cheng L, Ren W, Hou ZG, Tan M (2015) Seeking consensus in networks of linear agents: communication noises and markovian switching topologies. IEEE Trans Autom Control 60(5):1374–1379
Xu J, Zhang H, Xie L (2012) Stochastic approximation approach for consensus and convergence rate analysis of multiagent systems. IEEE Trans Autom Control 57(12):3163–3168
Xu L, Xiao N, Xie L (2016) Consensusability of discrete-time linear multi-agent systems over analog fading networks. Automatica 71:292–299
Xu L, Zheng J, Xiao N, Xie L (2018) Mean square consensus of multi-agent systems over fading networks with directed graphs. Automatica 95:503–510
You K, Xie L (2011a) Network topology and communication data rate for consensusability of discrete-time multi-agent systems. IEEE Trans Autom Control 56(10):2262–2275
You K, Xie L (2011b) Network topology and communication data rate for consensusability of discrete-time multi-agent systems. IEEE Trans Autom Control 56(10):2262–2275
You K, Li Z, Xie L (2013) Consensus condition for linear multi-agent systems over randomly switching topologies. Automatica 49(10):3125–3132
Zhang Q, Zhang JF (2013) Quantized data–based distributed consensus under directed time-varying communication topology. SIAM J Control Optim 51(1):332–352
Zhang Y, Tian YP (2012) Maximum allowable loss probability for consensus of multi-agent systems over random weighted lossy networks. IEEE Trans Autom Control 57(8):2127–2132
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Xie, L. (2021). Noisy Channel Effects on Multi-agent Consensus. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, Cham. https://doi.org/10.1007/978-3-030-44184-5_100137
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DOI: https://doi.org/10.1007/978-3-030-44184-5_100137
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