Consensus conditions of continuous-time multi-agent systems with time-delays and measurement noises

被引:107
作者
Zong, Xiaofeng [1 ,2 ]
Li, Tao [3 ]
Zhang, Ji-Feng [4 ,5 ]
机构
[1] China Univ Geosci, Sch Automat, Wuhan 430074, Hubei, Peoples R China
[2] Hubei Key Lab Adv Control & Intelligent Automat C, Wuhan 430074, Hubei, Peoples R China
[3] East China Normal Univ, Sch Math Sci, Shanghai Key Lab Pure Math & Math Practice, Shanghai 200241, Peoples R China
[4] Chinese Acad Sci, Acad Math & Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China
[5] Univ Chinese Acad Sci, Sch Math Sci, Beijing 100049, Peoples R China
基金
中国国家自然科学基金;
关键词
Multi-agent system; Time-delay; Measurement noise; Mean square consensus; Almost sure consensus; DISTRIBUTED CONSENSUS; AVERAGE CONSENSUS; STOCHASTIC-APPROXIMATION; SUFFICIENT CONDITION; STABILITY ANALYSIS; SENSOR NETWORKS; ALGORITHMS; BEHAVIOR; SEEKING; AGENTS;
D O I
10.1016/j.automatica.2018.04.002
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 work is concerned with stochastic consensus conditions of multi-agent systems with both time delays and measurement noises. For the case of additive noises, we develop some necessary conditions and sufficient conditions for stochastic weak consensus by estimating the differential resolvent function for delay equations. By the martingale convergence theorem, we obtain necessary conditions and sufficient conditions for stochastic strong consensus. For the case of multiplicative noises, we consider two kinds of time-delays, appeared in the measurement term and the noise term, respectively. We first show that stochastic weak consensus with the exponential convergence rate implies stochastic strong consensus. Then by constructing degenerate Lyapunov functional, we find the sufficient consensus conditions and show that stochastic consensus can be achieved by carefully choosing the control gain according to the noise intensities and the time-delay in the measurement term. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:412 / 419
页数:8
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