Synchronization of chaotic multi-agent systems with stochastic and impulsive disturbances

被引：0

作者：

Li, Teng ^{[1
]}

Zhang, Liuyang ^{[1
]}

Ma, Tiedong ^{[1
]}

机构：

[1] Chongqing Univ, Sch Automat, Chongqing 400044, Peoples R China

来源：

2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2017年

关键词：

Multi-agent systems; synchronization; stochastic disturbance; impulsive disturbances; COOPERATIVE TRACKING CONTROL; GLOBAL ASYMPTOTIC STABILITY; CELLULAR NEURAL-NETWORKS; NONLINEAR DYNAMICS; CONSENSUS TRACKING; COMPLEX NETWORKS; ADAPTIVE-CONTROL; LURE SYSTEMS; OBSERVER; DESIGN;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The cooperative exponential synchronization of chaotic multi-agent neural networks with stochastic and impulsive disturbances is investigated in this paper. Sufficient conditions for exponential synchronization to a leader are established and linked directly with graph topology, the control coupling gains, and the individual agent system parameters. Some relations between the synchronization performance and the system parameters are discussed, and it is shown that synchronization can be realized if the control parameters are suitably selected. Simulation results verify the effectiveness of the proposed synchronization protocol.

引用

页码：6319 / 6324

页数：6

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