Continuous-time quantized consensus: Convergence of Krasovskii solutions

被引:56
|
作者
Frasca, Paolo [1 ]
机构
[1] Politecn Torino, Dipartimento Matemat, Turin, Italy
关键词
Coordination; Consensus; Quantization; Discontinuous ODEs; DISTRIBUTED CONSENSUS; AVERAGE CONSENSUS; NETWORKS; ALGORITHMS;
D O I
10.1016/j.sysconle.2011.11.004
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This note studies a network of agents having continuous-time dynamics with quantized interactions and time-varying directed topology. Due to the discontinuity of the dynamics, solutions of the resulting ODE systems are intended in the sense of Krasovskii. A limit connectivity graph is defined, which encodes persistent interactions between nodes: if such graph has a globally reachable node, Krasovskii solutions reach consensus (up to the quantizer precision) after a finite time. Under the additional assumption of a time-invariant topology, the convergence time is upper bounded by a quantity which depends on the network size and the quantizer precision. It is observed that the convergence time can be very large for solutions which stay on a discontinuity surface. (C) 2011 Elsevier B.V. All rights reserved.
引用
收藏
页码:273 / 278
页数:6
相关论文
共 50 条
  • [1] Optimizing the Convergence Rate of the Continuous-Time Quantum Consensus
    Jafarizadeh, Saber
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2017, 62 (12) : 6122 - 6135
  • [2] Continuous-time consensus dynamics with quantized all-to-all communication
    Ceragioli, Francesca
    Frasca, Paolo
    2015 EUROPEAN CONTROL CONFERENCE (ECC), 2015, : 1926 - 1931
  • [3] A new condition for convergence in continuous-time consensus seeking systems
    Hendrickx, Julien M.
    Tsitsiklis, John N.
    2011 50TH IEEE CONFERENCE ON DECISION AND CONTROL AND EUROPEAN CONTROL CONFERENCE (CDC-ECC), 2011, : 5070 - 5075
  • [4] Convergence Time for Unbiased Quantized Consensus
    Etesami, Seyed Rasoul
    Basar, Tamer
    2013 IEEE 52ND ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2013, : 6190 - 6195
  • [5] An approach to quantized consensus of continuous-time linear multi-agent systems
    Ma, Ji
    Ji, Haibo
    Sun, Dong
    Feng, Gang
    AUTOMATICA, 2018, 91 : 98 - 104
  • [6] Average consensus of continuous-time multi-agent systems with quantized communication
    Wu, Yongjun
    Wang, Long
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2014, 24 (18) : 3345 - 3371
  • [7] An Upper Bound on the Convergence Time for Quantized Consensus
    Shang, Shang
    Cuff, Paul
    Hui, Pan
    Kulkarni, Sanjeev
    2013 PROCEEDINGS IEEE INFOCOM, 2013, : 600 - 604
  • [8] Continuous-Time Stochastic Mirror Descent on a Network: Variance Reduction, Consensus, Convergence
    Raginsky, Maxim
    Bouvrie, Jake
    2012 IEEE 51ST ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2012, : 6793 - 6800
  • [9] Asymptotic Optimality and Rates of Convergence of Quantized Stationary Policies in Continuous-Time Markov Decision Processes
    Wu, Xiao
    Tang, Yanqiu
    DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2022, 2022
  • [10] Convergence time analysis of quantized gossip consensus on digraphs
    Cai, Kai
    Ishii, Hideaki
    AUTOMATICA, 2012, 48 (09) : 2344 - 2351