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Zhen He [4]Zheng He [2]Zhengqiu He [1]Zhenfen He [1]
Zhenzhen He [1]Zhengwen He [1]Zhengyun He [1]
See also
  1.  14
    Sum of Squares Approach for Nonlinear H∞ Control.Ai-Ping Pang, Zhen He, Ming-han Zhao, Guang-Xiong Wang, Qin-mu Wu & Ze-tao Li - 2018 - Complexity 2018:1-7.
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  2.  12
    Apologies Repair Trust via Perceived Trustworthiness and Negative Emotions.Fengling Ma, Breanne E. Wylie, Xianming Luo, Zhenfen He, Rong Jiang, Yuling Zhang, Fen Xu & Angela D. Evans - 2019 - Frontiers in Psychology 10.
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  3.  27
    A Study of Key Success Factors of Service Enterprises in China.Min Zhang, Biying Jin, G. Alan Wang, Thong Ngee Goh & Zhen He - 2016 - Journal of Business Ethics 134 (1):1-14.
    This paper reports a study of the key success factors of what have been recognized as successful service enterprises in China, each considered representative of its respective industry. The grounded theory approach was used to analyze information collected from these enterprises, resulting in the identification of the attributes shared by these enterprises: customer-oriented service, service management, service innovation, and corporate social responsibility. Based on these attributes, a survey was conducted to verify the relationships among these attributes and important outcomes, namely (...)
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  4.  3
    Research on the Impact of Green Finance and Fintech in Smart City.Zheng He, Zhengkai Liu, Hui Wu, Xiaomin Gu, Yuanjun Zhao & Xiaoguang Yue - 2020 - Complexity 2020:1-10.
    The green development level reflected in the green finance index and the evaluation of the degree of green development in smart cities have important practical effects on economic transformation. For promoting the transformation and upgrading of finance, we select 2013–2019 data and construct a distributed lag model to analyse the important role played by green finance and financial technology in the construction of smart cities. In the paper, we find green finance promotes the construction of smart cities, and only it (...)
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  5.  14
    Individual irrationality, network structure, and collective intelligence: An agent-based simulation approach.Bo Xu, Renjing Liu & Zhengwen He - 2016 - Complexity 21 (S1):44-54.
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  6. Robust H∞ Control for the Spacecraft with Flexible Appendages.Aiping Pang, Hui Zhu, Junjie Zhou, Zhen He & Jing Yang - 2020 - Complexity 2020:1-8.
    Aiming at the oscillation suppression of spacecraft with large flexible appendages, we propose a control strategy using H∞ control. The weighting functions are designed for the specific flexible modes of the spacecraft and the frequency of harmonic interference in its operating environment. Taking into account the structural uncertainty of systematic modeling and the comprehensive performance requirements of system bandwidth constraint and attitude stability, the H∞ comprehensive performance matrix is constructed. A space telescope with a large flexible solar array is presented (...)
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  7. Covert Communication for Wireless Networks with Full-Duplex Multiantenna Relay.Ling Yang, Weiwei Yang, Liang Tang, Liwei Tao, Xingbo Lu & Zhengyun He - 2022 - Complexity 2022:1-24.
    In this work, we investigated a covert communication method in wireless networks, which is realized by multiantenna full-duplex single relay. In the first stage, the source node sends covert messages to the relay, and the relay uses a single antenna to send interference signals to the adversary node to protect the covert information being transmitted. In the second stage, the relay decodes and forwards the covert information received in the first stage; at the same time, the relay uses zero-forcing beamforming (...)
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  8.  5
    Online Optimal Control of Robotic Systems with Single Critic NN-Based Reinforcement Learning.Xiaoyi Long, Zheng He & Zhongyuan Wang - 2021 - Complexity 2021:1-7.
    This paper suggests an online solution for the optimal tracking control of robotic systems based on a single critic neural network -based reinforcement learning method. To this end, we rewrite the robotic system model as a state-space form, which will facilitate the realization of optimal tracking control synthesis. To maintain the tracking response, a steady-state control is designed, and then an adaptive optimal tracking control is used to ensure that the tracking error can achieve convergence in an optimal sense. To (...)
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  9.  2
    Aberrant Insula-Centered Functional Connectivity in Psychogenic Erectile Dysfunction Patients: A Resting-State fMRI Study.Yue Wang, Minghao Dong, Min Guan, Jia Wu, Zhen He, Zhi Zou, Xin Chen, Dapeng Shi, Jimin Liang & Xiangsheng Zhang - 2017 - Frontiers in Human Neuroscience 11.
  10.  1
    Acceleration Level Control of Redundant Manipulators with Physical Constraints Compliance and Disturbance Rejection under Complex Environment.Jinglun Liang, Yisheng Rong, Guoliang Ye, Xiaoxiao Li, Jianwen Guo & Zhenzhen He - 2020 - Complexity 2020:1-14.
    Investigation of joint torque constraint compliance is of significance for robot manipulators especially working in complex environments. A lot of which is attributed to that, on the one hand, it is beneficial to the improvement of both safety and reliability of the mission execution. On the other hand, the energy consumption required by the robot to complete the desired mission can be reduced. Most existing schemes do not take the joint torque limit and other inherent physical structure limits in a (...)
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  11.  1
    Syntax-aware entity representations for neural relation extraction.Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao & Min Zhang - 2019 - Artificial Intelligence 275 (C):602-617.
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