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| 1 | Theoretical research progress in complexity of complex dynamical networks显示文摘这篇文章为我们的联合复杂网络研究组(JCNRG ) 建议的非线性的复杂网络在理论模型的动态复杂性考察主要进步。这些理论模型的拓扑、动态的性质数字地被学习。几调查结果为理解和深深地学习的复杂网络从是有用的对显微镜的层次宏观并且在真实世界的网络有应用的一个潜力。 | Fang Jinqing | 2007 | Progress in Natural Science:Materials International2007，17，7： | 18 |
| 2 | A harmonious unifying hybrid preferential model and its universal properties for complex dynamical networks显示文摘To describe the real world which is a harmonious unification world with both de- terminism and randomness, we propose a harmonious unifying hybrid preferential model (HUHPM) of a certain class of complex dynamical networks. HUHPM is gov- erned only by the total hybrid ratio d/r according to the practical need. As some typical examples, the concepts and methods of the HUHPM are applied to the un-weighted BA model proposed by Barabási et al., the weighted BBV model pro- posed by Barat et al. and the weighted TDE model proposed by Wang et al. to get the so-called HUHPM-BA network, HUHPM-BBV network and HUHPM-TDE network. These HUHPM networks are investigated both analytically and numerically. It is found that the HUHPM reveals several universal properties, which more approach to the real-world networks for both un-weighted and weighted networks and have potential for applications. | FANG JinQing BI Qiao LI Yong LU XinBiao LIU Qiang | 2007 | Science China(Physics,Mechanics & Astronomy)2007，50，3： | 13 |
| 3 | Prediction of Primary Climate Variability Modes at the Beijing Climate Center显示文摘Climate variability modes, usually known as primary climate phenomena, are well recognized as the most important predictability sources in subseasonal–interannual climate prediction. This paper begins by reviewing the research and development carried out, and the recent progress made, at the Beijing Climate Center(BCC) in predicting some primary climate variability modes. These include the El Ni?o–Southern Oscillation(ENSO), Madden–Julian Oscillation(MJO), and Arctic Oscillation(AO), on global scales, as well as the sea surface temperature(SST) modes in the Indian Ocean and North Atlantic, western Pacific subtropical high(WPSH), and the East Asian winter and summer monsoons(EAWM and EASM, respectively), on regional scales. Based on its latest climate and statistical models, the BCC has established a climate phenomenon prediction system(CPPS) and completed a hindcast experiment for the period 1991–2014. The performance of the CPPS in predicting such climate variability modes is systematically evaluated. The results show that skillful predictions have been made for ENSO, MJO, the Indian Ocean basin mode, the WPSH, and partly for the EASM, whereas less skillful predictions were made for the Indian Ocean Dipole(IOD) and North Atlantic SST Tripole, and no clear skill at all for the AO, subtropical IOD, and EAWM. Improvements in the prediction of these climate variability modes with low skill need to be achieved by improving the BCC's climate models, developing physically based statistical models as well as correction methods for model predictions.Some of the monitoring/prediction products of the BCC-CPPS are also introduced in this paper. | Hong-Li REN Fei-Fei JIN Lianchun SONG Bo LU Ben TIAN Jinqing ZUO Ying LIU Jie WU Chongbo ZHAO Yu NIE Peiqun ZHANG Jin BA Yujie WU Jianghua WAN Yuping YAN Fang ZHOU | 2017 | Journal of Meteorological Research2017，31，1： | 13 |
| 4 | Controlling acomplex dynamical network to attain an inhomogeneousequilibrium显示文摘 | Lu Xinbiao Wang Xiaofan Fang Jinqing | 2010 | Physica D2010，239，： | 1 |
| 5 | Synchronization of Chaos and Hyperchaos Using Linear and Nonlinear Feedback Function显示文摘 | All M K Fang Jinqing | 1997 | Phys Rev E1997，55，5： | 1 |
| 6 | Switching manifold approach to chaos synchronization显示文摘 | FANG Jinqing HONG Yiguang CHEN Guanrong | 1999 | Phys Rev E1999，59，3： | 1 |
| 7 | Controlling halo-chaos via variable structure method显示文摘 | FANG Jinqing YU Xinghuo CHEN Guanrong | 2003 | Chin Phys Lett2003，20，12： | 1 |
| 8 | Advances in theoretical models of network science显示文摘 | FANG Jinqing BI Qiao LI Yong | 2007 | Front Phys China2007，1，： | 1 |
| 9 | FROM UNWEIGHTED TO WEIGHTED GENERALIZED FAREY ORGANIZED TREE AND THE PYRAMID NETWORKS显示文摘Generalized Farey tree network(GFTN)and generalized Farey organized pyramid network(GFOPN)model are proposed,and their topological characteristics are studied by both theoreticalanalysis and numerical simulations,which are in good accordance with each other.Then weightedGFTN is studied using cumulative distributions of its Farey number value,edge weight,and nodestrength.These results maybe helpful for future theoretical develonment of hvbrid models. | Yong LI·Jinqing FANG·Qiang LIU China Institute of Atomic Energy,Beijing 102413,China. | 2010 | Journal of Systems Science & Complexity2010，23，4： | 1 |
| 10 | Network complexity pyramid with five levels显示文摘 | FANG Jinqing | 2009 | Int J Systems Control and Communications2009，1，4： | 1 |
| 11 | Acute exacerbation of chronic obstructive pulmonary disease causes respiratory failure prognosis analysis 显示文摘 | Pu Xiaowen Fang Runyi Zhang Jinqing | 2014 | China et2014，37，34： | 1 |
| 12 | Synchronization of chaos and hyperchaos using linear and nonlinear feedback function 显示文摘 | Ali M K Fang Jinqing | 1997 | Phys Rev E1997，55，5： | 1 |
| 13 | Synchronization and control of hyperchaos 显示文摘 | FANG JINQING | 1995 | Chinese Science Bulletin1995，72，： | 1 |
| 14 | Synchronizing of Hyperchaos by White Noise | Fang Jinqing Xu Shuyan China Institute of Atomic Energy,P.O.Box 275—27,Beijing 102413 | 1997 | Chinese journal of nuclear physics1997，，1： | 0 |
| 15 | Multi-objective optimal dispatch of household flexible loads based on their real-life operating characteristics and energy-related occupant behavior显示文摘A model-based optimal dispatch framework was proposed to optimize operation of residential flexible loads considering their real-life operating characteristics,energy-related occupant behavior,and the benefits of different stakeholders.A pilot test was conducted for a typical household.According to the monitored appliance-level data,operating characteristics of flexible loads were identified and the models of these flexible loads were developed using multiple linear regression and K-means clustering methods.Moreover,a data-mining approach was developed to extract the occupant energy usage behavior of various flexible loads from the monitored data.Occupant behavior of appliance usage,such as daily turn-on times,turn-on moment,duration of each operation,preference of temperature setting,and flexibility window,were determined by the developed data-mining approach.Based on the established flexible load models and the identified occupant energy usage behavior,a many-objective nonlinear optimal dispatch model was developed aiming at minimizing daily electricity costs,occupants’dissatisfaction,CO_(2) emissions,and the average ramping index of household power profiles.The model was solved with the assistance of the NSGA-III and TOPSIS methods.Results indicate that the proposed framework can effectively optimize the operation of household flexible loads.Compared with the benchmark,the daily electricity costs,CO_(2) emissions,and average ramping index of household power profiles of the optimal plan were reduced by 7.3%,6.5%,and 14.4%,respectively,under the TOU tariff,while those were decreased by 9.5%,8.8%,and 23.8%,respectively,under the dynamic price tariff.The outputs of this work can offer guidance for the day-ahead optimal scheduling of household flexible loads in practice. | Zhengyi Luo Jinqing Peng Maomao Hu Wei Liao Yi Fang | 2023 | Building Simulation2023，16，11： | 0 |
| 16 | Synchronizing Hyperchaos by Drive-Feedback Control | Fang Jinqing Fang Qing~② China Institule of Atomic Energy,P.O.Box 275-27,Beijing 102413 Beijing Institute of Television Research,Beijing 100031 | 1996 | Chinese journal of nuclear physics1996，，4： | 0 |
| 17 | Synchronizing Hyperchaos by Variable Feedback Control | Fang Tianhua~② Fang Jinqing China Institule of Atomic Energy,P.O.Box 275—27,Beijing 102413 Received 22 December 1995 Department of Physics,Fuzhou Teacher’s College,Fuzhou 350000 | 1996 | Chinese journal of nuclear physics1996，，3： | 0 |
| 18 | Synchronizing Hyperchaos by Mutual Coupling Control | Fang Jinqing Fang Tianhua~② China Institule of Atomic Fmergy ,P.O.Box 275—27,Beijing.102413 Received 22 December 1995 Department of Physics,Fuzhou Teacher’s College | 1996 | Chinese journal of nuclear physics1996，，3： | 0 |
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