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[求助]
谁帮忙看看这篇论文是否SCI检索，并给出检索信息，万分感谢！已有1人参与
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Synchronization criteria for generalized reaction-diffusion neural networks via periodically intermittent control Qintao Gan, Tianshi Lv and Zhenhua Fu Chaos 26, 043113 (2016); https://dx.doi.org/10.1063/1.4947288 @Monash2011 |
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ganqintao: 金币+10, ★★★★★最佳答案 2016-06-15 22:15:26
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ganqintao: 金币+10, ★★★★★最佳答案 2016-06-15 22:15:26
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Synchronization criteria for generalized reaction-diffusion neural networks via periodically intermittent control 作者:Gan, QT (Gan, Qintao)[ 1 ] ; Lv, T (Lv, Tianshi)[ 1 ] ; Fu, ZH (Fu, Zhenhua)[ 2 ] CHAOS 卷: 26 期: 4 文献号: 043113 DOI: 10.1063/1.4947288 出版年: APR 2016 查看期刊信息 摘要 In this paper, the synchronization problem for a class of generalized neural networks with time-varying delays and reaction-diffusion terms is investigated concerning Neumann boundary conditions in terms of p-norm. The proposed generalized neural networks model includes reaction-diffusion local field neural networks and reaction-diffusion static neural networks as its special cases. By establishing a new inequality, some simple and useful conditions are obtained analytically to guarantee the global exponential synchronization of the addressed neural networks under the periodically intermittent control. According to the theoretical results, the influences of diffusion coefficients, diffusion space, and control rate on synchronization are analyzed. Finally, the feasibility and effectiveness of the proposed methods are shown by simulation examples, and by choosing different diffusion coefficients, diffusion spaces, and control rates, different controlled synchronization states can be obtained. Published by AIP Publishing. 关键词 KeyWords Plus:TIME-VARYING DELAYS; GLOBAL EXPONENTIAL STABILITY; COMPLEX NETWORKS; DISTRIBUTED DELAYS; DYNAMICAL NETWORKS; STATE ESTIMATION; MIXED DELAYS; TERMS; SYSTEMS 作者信息 通讯作者地址: Gan, QT (通讯作者) Shijiazhuang Mech Engn Coll, Dept Basic Sci, Shijiazhuang 050003, Peoples R China. 地址: [ 1 ] Shijiazhuang Mech Engn Coll, Dept Basic Sci, Shijiazhuang 050003, Peoples R China 显示增强组织信息的名称 [ 2 ] Beijing Inst Technol, Sch Automat, Beijing 100081, Peoples R China 电子邮件地址:ganqintao@sina.com 基金资助致谢 基金资助机构 授权号 National Natural Science Foundation of China 61305076 11371368 Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry 查看基金资助信息 出版商 AMER INST PHYSICS, 1305 WALT WHITMAN RD, STE 300, MELVILLE, NY 11747-4501 USA 类别 / 分类 研究方向:Mathematics; Physics Web of Science 类别:Mathematics, Applied; Physics, Mathematical 文献信息 文献类型:Article 语种:English 入藏号: WOS:000376093300013 PubMed ID: 27131492 ISSN: 1054-1500 eISSN: 1089-7682 期刊信息 Impact Factor (影响因子): Journal Citation Reports® 其他信息 IDS 号: DM1GL Web of Science 核心合集中的 "引用的参考文献": 38 Web of Science 核心合集中的 "被引频次": 0 |
2楼2016-06-15 22:10:03