Analysis and pinning control for passivity of multi-weighted complex dynamical networks with fixed and switching topologies

被引：35
作者：
Zhang, Xiao-Xiao [1 ]
Wang, Jin-Liang [1 ,2 ]
Huang, Yan-Li [1 ]
Ren, Shun-Yan [3 ]
机构：
[1] Tianjin Polytech Univ, Sch Comp Sci & Software Engn, Tianjin 300387, Peoples R China
[2] Tianjin Polytech Univ, Tianjin Key Lab Optoelect Detect Technol & Syst, Tianjin 300387, Peoples R China
[3] Tianjin Polytech Univ, Sch Mech Engn, Tianjin 300387, Peoples R China
来源：
NEUROCOMPUTING | 2018年 / 275卷
基金：
中国国家自然科学基金;
关键词：
Multi-weights; Complex dynamical networks; Passivity; Pinning control; OUTPUT-FEEDBACK CONTROL; NEURAL-NETWORKS; SYNCHRONIZATION; STABILITY;
D O I：
10.1016/j.neucom.2017.09.037
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we respectively discuss passivity and pinning passivity of multi-weighted complex dynamical networks. By employing Lyapunov functional approach, several passivity criteria for the complex dynamical network with fixed topology and multi-weights are established. In addition, under the designed pinning adaptive state feedback controller, some sufficient conditions are obtained to ensure the passivity of the multi-weighted complex dynamical network with fixed topology. Furthermore, similar methods are used to derive several criteria for passivity and pinning passivity of complex dynamical networks with switching topology and multi-weights. Finally, two numerical examples with simulation results are given to show the correctness of the obtained passivity criteria. (c) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码：958 / 968
页数：11
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