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浏览/检索结果: 共10条，第1-10条 帮助 限定条件 发表日期：2020     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Leader-following consensus of multi-agent systems under antagonistic networks 期刊论文 NEUROCOMPUTING, 2020, 卷号: 413, 页码: 339-347 作者:  Wang, Qianyao;  Liu, Kexin;  Wang, Xiong;  Wu, Lulu;  Lu, Jinhu 收藏  |  浏览/下载：36/0  |  提交时间：2021/01/14 Multi-agent systems  Signed graph  Bipartite consensus  Adaptive regulation   Linear and quadratic magnetoresistance in the semimetal SiP2 期刊论文 PHYSICAL REVIEW B, 2020, 卷号: 102 作者:  Zhou, Yuxing;  Lou, Zhefeng;  Zhang, ShengNan;  Chen, Huancheng;  Chen, Qin 收藏  |  浏览/下载：32/0  |  提交时间：2020/11/30 Phase Field Modeling of Formation Mechanism of Grain Boundary Allotriomorph in beta ->alpha Phase Transformation in Ti-6Al-4V Alloy 期刊论文 ACTA METALLURGICA SINICA, 2020, 卷号: 56, 期号: 8, 页码: 1113-1122 作者:  Sun Jia;  Li Xuexiong;  Zhang Jinhu;  Wang Gang;  Yang Mei 收藏  |  浏览/下载：15/0  |  提交时间：2021/02/02 Ti-6Al-4V  phase field model  thermal noise term  alpha(GB)  grain boundary wetting   Recovering Network Structures With Time-Varying Nodal Parameters 期刊论文 IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2020, 卷号: 50, 期号: 7, 页码: 2588-2598 作者:  Wang, Xiong;  Lu, Jinhu 收藏  |  浏览/下载：2/0  |  提交时间：2020/09/23 Complex networks  Time-varying systems  Taylor series  Power system dynamics  Vehicle dynamics  Topology  Complex network  Lasso method  network reconstruction  time-varying nodal parameter   The Quantitative Estimation of Grazing Intensity on the Zoige Plateau Based on the Space-Air-Ground Integrated Monitoring Technology 期刊论文 REMOTE SENSING, 2020, 卷号: 12, 期号: 9, 页码: 21 作者:  Lei, Guangbin;  Li, Ainong;  Zhang, Zhengjian;  Bian, Jinhu;  Hu, Guyue 收藏  |  浏览/下载：109/0  |  提交时间：2021/07/09 grazing intensity  space-air-ground integrated monitoring  unmanned aerial vehicle (UAV)  trajectory data  animal husbandry  remote sensing   Influences of Applied Shear Stress on the Nucleation and Micro-texture Formation of a Phase in Ti-6Al-4V Alloy 期刊论文 RARE METAL MATERIALS AND ENGINEERING, 2020, 卷号: 49, 期号: 3, 页码: 939-943 作者:  Zhang Jinhu;  Xu Dongsheng;  Teng Chunyu;  Wang Hao;  Li Xuexiong 收藏  |  浏览/下载：11/0  |  提交时间：2021/02/02 applied shear stress  micro-texture  phase field simulation   Multispectral Remote Sensing Data Are Effective and Robust in Mapping Regional Forest Soil Organic Carbon Stocks in a Northeast Forest Region in China 期刊论文 REMOTE SENSING, 2020, 卷号: 12, 期号: 3, 页码: 18 作者:  Wang, Shuai;  Gao, Jinhu;  Zhuang, Qianlai;  Lu, Yuanyuan;  Gu, Hanlong 收藏  |  浏览/下载：4/0  |  提交时间：2020/05/19 soil organic carbon stocks  multispectral remote sensing  forestry ecology  spatial variation   A novel multiple small-angle scattering framework for interpreting anisotropic polarization pattern of lidar returns from water clouds 期刊论文 JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER, 2020, 卷号: 242 作者:  Zhang, Jingxin;  Wang, Zhen;  Zhang, Feng;  Gao, Haiyang;  Wang, Jinhu 收藏  |  浏览/下载：9/0  |  提交时间：2020/11/26 Lidar  MSCART  Reduced Mueller matrix  Multiple scattering  Water cloud   The Quantitative Estimation of Grazing Intensity on the Zoige Plateau Based on the Space-Air-Ground Integrated Monitoring Technology 期刊论文 REMOTE SENSING, 2020, 卷号: 12, 期号: 9, 页码: 1863-1880 作者:  Lei Guangbin;  Li Ainong;  Zhang Zhengjian;  Bian Jinhu;  Hu Guyue 收藏  |  浏览/下载：54/0  |  提交时间：2020/08/18 grazing intensity  space-air-ground integrated monitoring  unmanned aerial vehicle (UAV)  trajectory data  animal husbandry  remote sensing   Recovering node parameters and topologies of uncertain non-linearly coupled complex networks 期刊论文 IET CONTROL THEORY AND APPLICATIONS, 2020, 卷号: 14, 期号: 1, 页码: 105-115 作者:  Wang, Xiong;  Gu, Haibo;  Chen, Yao;  Lu, Jinhu 收藏  |  浏览/下载：22/0  |  提交时间：2020/05/24 complex networks  uncertain systems  synchronisation  delays  nonlinear control systems  adaptive control  topology  node dynamics  network topologies  adaptive anticipatory synchronisation-based approaches  unknown node parameters  response network  node delay  node parameters  uncertain nonlinearly coupled complex networks