Synchronization Control for Stochastic Neural Networks with Mixed Time-Varying Delays
文献类型:期刊论文
作者 | Zhu, Qing1,2; Song, Aiguo1; Fei, Shumin3; Yang, Yuequan2; Cao, Zhiqiang4![]() |
刊名 | SCIENTIFIC WORLD JOURNAL
![]() |
出版日期 | 2014 |
英文摘要 | Synchronization control of stochastic neural networks with time-varying discrete and continuous delays has been investigated. A novel control scheme is proposed using the Lyapunov functional method and linear matrix inequality (LMI) approach. Sufficient conditions have been derived to ensure the global asymptotical mean-square stability for the error system, and thus the drive system synchronizes with the response system. Also, the control gain matrix can be obtained. With these effective methods, synchronization can be achieved. Simulation results are presented to show the effectiveness of the theoretical results. |
WOS标题词 | Science & Technology |
类目[WOS] | Multidisciplinary Sciences |
研究领域[WOS] | Science & Technology - Other Topics |
关键词[WOS] | MARKOVIAN JUMP SYSTEMS ; ADAPTIVE SYNCHRONIZATION ; EXPONENTIAL STABILITY ; DIRECTED NETWORKS ; PARAMETERS ; CONSENSUS ; NODES |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000343547100001 |
源URL | [http://ir.ia.ac.cn/handle/173211/3515] ![]() |
专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队 |
作者单位 | 1.Southeast Univ, Sch Instrument Sci, Nanjing 210096, Jiangsu, Peoples R China 2.Yangzhou Univ, Coll Informat Engn, Yangzhou 225009, Peoples R China 3.Southeast Univ, Sch Automat, Nanjing 210096, Jiangsu, Peoples R China 4.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Zhu, Qing,Song, Aiguo,Fei, Shumin,et al. Synchronization Control for Stochastic Neural Networks with Mixed Time-Varying Delays[J]. SCIENTIFIC WORLD JOURNAL,2014. |
APA | Zhu, Qing,Song, Aiguo,Fei, Shumin,Yang, Yuequan,&Cao, Zhiqiang.(2014).Synchronization Control for Stochastic Neural Networks with Mixed Time-Varying Delays.SCIENTIFIC WORLD JOURNAL. |
MLA | Zhu, Qing,et al."Synchronization Control for Stochastic Neural Networks with Mixed Time-Varying Delays".SCIENTIFIC WORLD JOURNAL (2014). |
入库方式: OAI收割
来源:自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。