Synchronisation of second-order stochastic complex dynamical networks via intermittent pinning discrete observations control and their applications

被引:5
作者
Wu, Yongbao [1 ]
Guo, Zhengrui [1 ]
Li, Wenxue [1 ]
Feng, Jiqiang [2 ]
机构
[1] Harbin Inst Technol, Dept Math, Weihai 264209, Peoples R China
[2] Shenzhen Univ, Coll Math & Stat, Shenzhen Key Lab Adv Machine Learning & Applicat, Shenzhen 518060, Peoples R China
基金
美国国家科学基金会;
关键词
complex networks; observers; Lyapunov methods; delays; neurocontrollers; nonlinear control systems; discrete time systems; matrix algebra; synchronisation; periodic control; stochastic systems; SOSCDNs; periodically intermittent pinning discrete observations control; discrete-time state observations; continuous-time state observations; control time; control strategy; network topology structure; stochastic analysis techniques; synchronisation criterion; exponential synchronisation; consecutive observations; second-order stochastic complex dynamical networks; NONLINEAR MULTIAGENT SYSTEMS; FINITE-TIME SYNCHRONIZATION; LEADER-FOLLOWING CONSENSUS; DIFFERENTIAL-EQUATIONS; EXPONENTIAL SYNCHRONIZATION; OUTER-SYNCHRONIZATION; COUPLED SYSTEMS; VARYING DELAYS; HYBRID SYSTEMS; STABILIZATION;
D O I
10.1049/iet-cta.2019.1132
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this study, the exponential synchronisation of second-order stochastic complex dynamical networks (SOSCDNs) is considered. A novel control called periodically intermittent pinning discrete observations control is proposed, which is based on discrete-time state observations instead of continuous-time state observations during the control time. To the authors' knowledge, the above control strategy has rarely been investigated in previous researches. Compared with the existing literature, there are no restrictions on the network topology structure in this study. Furthermore, by employing the Lyapunov method, stochastic analysis techniques, and matrix theory, a synchronisation criterion and a corollary about the exponential synchronisation of the SOSCDNs are presented. In particular, when the duration between two consecutive observations tends to zero, periodically intermittent pinning discrete observations control degenerates into periodically intermittent pinning control, and relevant corollaries are also derived. Finally, they applied theoretical results to single-link robot arm systems and oscillator systems. Meanwhile, the numerical simulations are performed to demonstrate the effectiveness of their results.
引用
收藏
页码:3440 / 3450
页数:11
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