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机构地区:[1]School of Electronic Information Guangdong University of Petrochemical Technology [2]Systems Engineering Institute South China University of Technology
出 处:《Chinese Physics B》2017年第10期112-121,共10页中国物理B(英文版)
基 金:supported by the National Natural Science Foundation of China(Grant Nos.61573156,61273126,61503142,61272382,and 61573154);the Fundamental Research Funds for the Central Universities(Grant No.x2zd D2153620)
摘 要:This paper investigates the stochastic bounded consensus of leader-following second-order multi-agent systems in a noisy environment. It is assumed that each agent received the information of its neighbors corrupted by noises and time delays. Based on the graph theory, stochastic tools, and the Lyapunov function method, we derive the sufficient conditions under which the systems would reach stochastic bounded consensus in mean square with the protocol we designed. Finally, a numerical simulation is illustrated to check the effectiveness of the proposed algorithms.This paper investigates the stochastic bounded consensus of leader-following second-order multi-agent systems in a noisy environment. It is assumed that each agent received the information of its neighbors corrupted by noises and time delays. Based on the graph theory, stochastic tools, and the Lyapunov function method, we derive the sufficient conditions under which the systems would reach stochastic bounded consensus in mean square with the protocol we designed. Finally, a numerical simulation is illustrated to check the effectiveness of the proposed algorithms.
关 键 词:stochastic bounded consensus multi-agent systems NOISES TIME-DELAYS
分 类 号:TP18[自动化与计算机技术—控制理论与控制工程]
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