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Yang Li [7]Yangyang Li [3]Yangding Li [2]Yangmin Li [2]
Yangzheng Li [1]Yangbo Li [1]
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  1.  5
    Homeomorphism Mapping Based Neural Networks for Finite Time Constraint Control of a Class of Nonaffine Pure-Feedback Nonlinear Systems.Jianhua Zhang, Quanmin Zhu, Yang Li & Xueli Wu - 2019 - Complexity 2019:1-11.
    In this study, an accurate convergence time of the supertwisting algorithm is proposed to build up a framework for nonaffine nonlinear systems’ finite-time control. The convergence time of the STA is provided by calculating the solution of a differential equation instead of constructing Lyapunov function. Therefore, precise convergence time is presented instead of estimation of the upper bound of the algorithm’s reaching time. Regardless of affine or nonaffine nonlinear systems, supertwisting control provides a general solution based on virtual control law (...)
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  2.  7
    Guaranteed Cost Synchronization of Complex Networks with Uncertainties and Time-Varying Delays.Ping He, Xue-Lin Wang & Yangmin Li - 2016 - Complexity 21 (6):381-395.
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  3.  6
    H∞ Synchronization of Coupled Reaction-Diffusion Neural Networks with Mixed Delays.Ping He & Yangmin Li - 2016 - Complexity 21 (S2):42-53.
  4.  13
    Decreased Global Network Efficiency in Young Male Smoker: An EEG Study During the Resting State.Shaoping Su, Dahua Yu, Jiadong Cheng, Yajing Chen, Xiaohua Zhang, Yanyan Guan, Yangding Li, Yanzhi Bi, Ting Xue, Xiaoqi Lu & Kai Yuan - 2017 - Frontiers in Psychology 8.
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  5.  3
    Correlation Analysis Algorithm-Based Multiple-Input Single-Output Wiener Model with Output Noise.Li Jia, Yangyang Li & Feng Li - 2019 - Complexity 2019:1-13.
    A novel identification algorithm for the correlation analysis-based multiple-input single-output neurofuzzy Wiener model with noise is proposed. Firstly, several sets of Gaussian signals are utilized to realize the decoupling between the dynamic linear blocks and the static nonlinear blocks of a MISO Wiener system. Then, the correlation analysis is adopted to identify the parameters of the linear parts, and the problem that the output of static nonlinear block is immeasurable can be solved. As a result, it can circumvent the problem (...)
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  6.  4
    12 H Abstinence-Induced ERP Changes in Young Smokers: Electrophysiological Evidence From a Go/NoGo Study.Chang Liu, Fang Dong, Yangding Li, Yan Ren, Dongdong Xie, Xianfu Wang, Ting Xue, Ming Zhang, Guoyin Ren, Karen M. von Deneen, Kai Yuan & Dahua Yu - 2019 - Frontiers in Psychology 10.
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  7.  4
    The Improved Antlion Optimizer and Artificial Neural Network for Chinese Influenza Prediction.Hongping Hu, Yangyang Li, Yanping Bai, Juping Zhang & Maoxing Liu - 2019 - Complexity 2019:1-12.
    The antlion optimizer is a new swarm-based metaheuristic algorithm for optimization, which mimics the hunting mechanism of antlions in nature. Aiming at the shortcoming that ALO has unbalanced exploration and development capability for some complex optimization problems, inspired by the particle swarm optimization, the updated position of antlions in elitism operator of ALO is improved, and thus the improved ALO is obtained. The proposed IALO is compared against sine cosine algorithm, PSO, Moth-flame optimization algorithm, multi-verse optimizer, and ALO by performing (...)
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  8.  2
    War or Peace? How the Subjective Perception of Great Power Interdependence Shapes Preemptive Defensive Aggression.Yiming Jing, Peter H. Gries, Yang Li, Adam W. Stivers, Nobuhiro Mifune, D. M. Kuhlman & Liying Bai - 2017 - Frontiers in Psychology 8.
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  9.  9
    Dynamic Mechanisms of Lamina-Induced Fracture Propagation in Tight Oil-Sand Formations.Dan Liu, Yaohua Li, Qun Luo, Qianyou Wang, Xiangzhen Meng, Jiaguo Luo, Hairu Feng, Yang Li & Xin Zhang - 2019 - Interpretation 7 (1):T179-T193.
    Lamina-induced fractures are abundant in lacustrine formations, playing an important role in tight oil resource exploration. There is a lack of research on the dynamic mechanisms of LF propagation in heterogeneous formations characterized by complex combinations of lamina and surrounding rock. For this reason, we conducted triaxial compressive tests of 28 long column samples and Brazil split tests of 37 short column samples using six core samples with different lithologies, including nine column samples tested using a CT scanner and an (...)
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  10.  2
    Performance Analysis of Reheat Steam Temperature Control System of Thermal Power Unit Based on Constrained Predictive Control.Xiaoli Li, Jian Liu, Kang Wang, Fuqiang Wang & Yang Li - 2019 - Complexity 2019:1-12.
    The reheat steam temperature control system of thermal power unit is a complex control object with time-varying parameters and large delay. In order to achieve precise control of reheat steam temperature, the performance of the reheat temperature control system is analyzed according to the data that are obtained based on the constrained predictive control algorithm. Firstly, the process and mathematical model of reheat steam temperature control system are introduced. Then the principle of constrained predictive control algorithm is analyzed. Finally, the (...)
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  11.  17
    A Logging-Curve Separation Scale Overlay Method for Total-Organic-Carbon Estimation in Organic-Rich Shale Reservoirs.Jingling Xu, Yangyang Li, Baoying Zhang, Lei Xu & Yuxing Qin - 2017 - Interpretation: SEG 5 (3):T387-T398.
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  12.  16
    Feedback‐Mediated Neuronal Competition for Survival Cues Regulates Innervation of a Target Tissue.Yang Li & Marc Fivaz - 2008 - Bioessays 30 (10):929-933.
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  13. Kai Qi Zhong Yi Zhi Men: Yun Qi Xue Dao Lun.Yangbo Li - 2006 - Xiang Ying Wen Hua.
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  14. The Rehabilitation of Rhetoric in Gadamer’s Philosophical Hermeneutics.Yang Li & Qin Ming-li - 2019 - Philosophy Study 9 (10).
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