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  1. No Access

    Chapter and Conference Paper

    Dam** Effect of a Controlled Nonlinear Meso-Scale Beam Under Periodic Excitation

    Amplitude frequency characteristics of a controlled nonlinear meso-scale beam are studied. Harmonic balance solution method including general analytical expression and updated cycle iteration procedure is deve...

    Zuguang Ying, Yiqing Ni, Zhigang Ruan in Advances in Intelligent Automation and Sof… (2022)

  2. No Access

    Chapter and Conference Paper

    A General Method for Attitude Estimation of Non-cooperative Target Based on Stereo Vision

    Space debris are non-cooperate targets, which have serious impact on space safety. The space robot has to acquire the attitude knowledge of these target before proximity and capture operation during removal of...

    Qiyang Hu, Fangzhou Fu, Zhigang Wu in Proceedings of 2022 Chinese Intelligent Sy… (2022)

  3. No Access

    Article

    An improved multi-objective bacterial colony chemotaxis algorithm based on Pareto dominance

    This paper puts forward an improved multi-objective bacterial colony chemotaxis (MOBCC) algorithm based on Pareto dominance. A time-varying step size tactic is adopted to increase the global and local searchin...

    Zhigang Lu, Sheng**g Qi, Jiangfeng Zhang, Yao Cai, **aoqiang Guo in Soft Computing (2022)

  4. No Access

    Article

    Mechanism and Position Tracking Control of a Robotic Manipulator Actuated by the Tendon-Sheath

    To achieve a manipulator that is lighter and more anthropomorphic, a 7-DOF robotic manipulator driven by the tendon-sheath is designed. Its mechanical system and control system are both introduced in this pape...

    Meng Yin, Zhigang Xu, Zhiliang Zhao, Haoting Wu in Journal of Intelligent & Robotic Systems (2020)

  5. No Access

    Article

    Quantum-behaved particle swarm optimization with generalized space transformation search

    Nature-inspired algorithms have been proved to be very powerful methods for complex numerical optimization problems. Quantum-behaved particle swarm optimization (QPSO) is a typical member of nature-inspired al...

    Yiying Zhang, Zhigang ** in Soft Computing (2020)

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    Article

    A novel hybrid multi-objective bacterial colony chemotaxis algorithm

    In this article, a novel hybrid multi-objective bacterial colony chemotaxis (HMOBCC) algorithm is proposed to solve multi-objective optimization problems. A mechanism of particle swarm optimization is introduc...

    Zhigang Lu, Lijun Geng, Guanghao Huo, Hao Zhao, Weitao Yao, Guoqiang Li in Soft Computing (2020)

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    Living Reference Work Entry In depth

    Video Mosaicing

    Zhigang Zhu in Encyclopedia of Robotics

  8. Article

    Open Access

    Multi-objective redundancy hardening with optimal task map** for independent tasks on multi-cores

    The rate of transient faults has increased significantly as the technology scales up. The tolerance of transient faults has become an important issue in the system design. Dual modular redundancy (DMR) and tri...

    Bo Yuan, Bin Li, Huanhuan Chen, Zhigang Zeng, **n Yao in Soft Computing (2020)

  9. Article

    Open Access

    Attention Pooling-Based Bidirectional Gated Recurrent Units Model for Sentimental Classification

    Recurrent neural network (RNN)is one of the most popular architectures for addressing variable sequence text, and it shows outstanding results in many natural language processing (NLP) tasks and remarkable per...

    Dejun Zhang, Mingbo Hong, Lu Zou, Fei Han in International Journal of Computational Int… (2019)

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    Article

    A fast and robust face recognition approach combining Gabor learned dictionaries and collaborative representation

    Proposed is a simple yet fast and robust approach to face recognition. This approach is developed specifically to address the challenges due to variations of illumination, expression and occlusion, when studyi...

    Yu Cheng, Zhigang **, Hongcai Chen in International Journal of Machine Learning … (2016)

  11. No Access

    Article

    Passivity analysis for delayed discontinuous neural networks

    In this paper, we have integrated the passivity of delayed neural networks with discontinuous activations which are unbounded. Based on differential inclusion theory and nonsmooth analysis, some sufficient con...

    Jian **ao, Zhigang Zeng, Wenwen Shen in Soft Computing (2013)

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