Finite-time Projective Lag Synchronization and Identification Between Two Different Markovian Jumping Complex Networks with Stochastic Perturbations

被引：0
|
作者：
Xie, Qian [1 ]
Mu, Changhui [1 ]
Li, Yang [2 ]
Wu, Gang [2 ]
Jia, Rong [1 ]
机构：
[1] Xian Univ Technol, Inst Water Resources & Hydroelect Engn, Xian 710048, Peoples R China
[2] PetroChina Changqing Oilfield Co, Changbei Operating Co, Xian 710018, Peoples R China
来源：
PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC) | 2019年
关键词：
Markovian jumping complex network; Finite time synchronization; Projective lag synchronization; Parameters identification; NEURAL-NETWORKS; CLUSTER; DELAYS;
D O I：
10.23919/chicc.2019.8865901
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 paper focus on the problem of identification and synchronization of two non-identical dimension Markovian jumping complex networks with stochastic perturbations, a finite-time projection lag synchronization method is proposed, and the unknown parameters of the network are identified. Based on the Ito's formula and the stability theory of finite-time, a credible finite-time nonlinear feedback controller with updated laws are obtained to guarantee the synchronization with two non-identical dimension Markovian jumping complex networks. Meanwhile, in order to identify the uncertain parameters of the network with stochastic perturbations accurately, some sufficient conditions are given. Finally, an illustrative example is given to demonstrate the effectiveness and feasibility of the main theory result.
引用
收藏
页码：918 / 923
页数：6
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