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检索条件"机构=Science and Technology on Complex System Control and Intelligent Agent Coopration Laboratory"
453 条 记 录,以下是241-250 订阅
排序:
Monocular Visual-Inertial Odometry Based on Point and Line Features  6
Monocular Visual-Inertial Odometry Based on Point and Line F...
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6th IEEE International Conference on Computer and Communications, ICCC 2020
作者: Chen, Gongyan Zhang, Hai Fu, Wenxing Qiao, Yiqun School of Automation Science and Electrical Engineering Beihang University Beijing China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China
In order to solve the problem that the point feature tracking is not robust enough to reduce the accuracy of the system in a low-texture environment, this paper proposes a visual inertial odometry system based on poin... 详细信息
来源: 评论
Robust composite control of telescopic wing morphing aircraft with control allocation
Robust composite control of telescopic wing morphing aircraf...
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Chinese Automation Congress (CAC)
作者: Zijian Wang Mingzhe Hou Mingrui Hao Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China
In this paper, the problem of anti-disturbance, anti-saturation and fixed-time control for a class of telescopic wing morphing aircraft is studied. The telescopic wing morphing aircraft treats the variable wingspan as... 详细信息
来源: 评论
Zero-shot learning based on semantic embedding for ship detection  3
Zero-shot learning based on semantic embedding for ship dete...
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3rd International Conference on Unmanned systems, ICUS 2020
作者: Zhang, Zihan Zhoa, Jiajia Liang, Xinkai Northwestern Polytechnical University School of Electronics and Information Shaanxi Xi'an China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Bejing China
Zero-shot detection (ZSD) is a hot topic, which can detect unseen object without training on it. This new approach rises several challenges, e.g., the imbalance between positive and negative data, ambiguity between ba... 详细信息
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Motion-Guided Spatial Perception for Enhanced Multi-Object Tracking: A Hierarchical Framework
SSRN
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SSRN 2023年
作者: Zheng, Yujin Qi, Hang Li, Lei Li, Shan Huang, Yan He, Chu Wang, Dingwen School of Computer Science Wuhan University Hubei Wuhan430000 China The Beijing Electro-Mechanical Engineering Institute Beijing100074 China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing100074 China Zmvision Technology Hubei Wuhan430000 China School of Electronic Information Wuhan University Hubei Wuhan430000 China
Multi-object tracking (MOT) aims to associate objects of interest across sequences, which has rapidly progressed with the development of object detection and optimal matching techniques. However, spatio-temporal model... 详细信息
来源: 评论
Prediction of exosomal piRNAs based on deep learning for sequence embedding with attention mechanism
Prediction of exosomal piRNAs based on deep learning for seq...
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2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022
作者: Liu, Yajun Ding, Yulian Li, Aimin Fei, Rong Guo, Xie Wu, Fangxiang Xi'an University of Technology Shaanxi Key Laboratory for Network Computing and Security Technology Xi'an China University of Saskatchewan Division of Biomedical Engineering Saskatoon Canada Xi'an University of Technology Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an China University of Saskatchewan Division of Biomedical Engineering Department of Computer Science Department of Mechanical Engineering Saskatoon Canada
PIWI-interacting RNAs (piRNAs) are a type of small non-coding RNAs which bind with the PIWI proteins to exert biological effects in various regulatory mechanisms. A growing amount of evidence reveals that exosomal piR... 详细信息
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Parametric Transformation of Timed Weighted Marked Graphs:Applications in Optimal Resource Allocation
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IEEE/CAA Journal of Automatica Sinica 2021年 第1期8卷 179-188页
作者: Zhou He Ziyue Ma Zhiwu Li Alessandro Giua the College of Mechanical and Electrical Engineering Shaanxi University of Science and TechnologyXi’an 710021China Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi’an University of TechnologyXi’an 710048China the School of Electro-Mechanical Engineering Xidian UniversityXi’an 710071China Institute of Systems Engineering Macao University of Science and TechnologyTaipa 999078MacaoChina the Department of Electrical and Electronic Engineering University of CagliariCagliari 09124Italy
Timed weighted marked graphs are a subclass of timed Petri nets that have wide applications in the control and performance analysis of flexible manufacturing *** to the existence of multiplicities(i.e.,weights)on edge... 详细信息
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Phase Unwrapping Based on CFAR Detection for Multi-baseline InISAR
Phase Unwrapping Based on CFAR Detection for Multi-baseline ...
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IEEE International Conference on Radar
作者: Meng Ma Guangzhou Qu Shuaishuai Liu Yanjiao Yang Hucheng Pei Qingxi Chi Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China Beijing Electro-Mechanical Engineering Institute Beijing China
A phase unwrapping method based on constant false alarm rate (CF AR) detection is proposed for multi-baseline interferometric inverse synthetic aperture radar (InISAR). Aiming at the problem of ambiguity number estima... 详细信息
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Rapid and Accurate Regional Star-Map Simulated Method
Rapid and Accurate Regional Star-Map Simulated Method
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Computer, control and Robotics (ICCCR), International Conference on
作者: Jian Han Jiahui Tong Cheng Tang Beijing Electro-Mechanical Engineering Institute Beijing China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China
The following topics are dealt with: mobile robots; feature extraction; learning (artificial intelligence); motion control; neural nets; path planning; optimisation; object detection; fault diagnosis; design engineering.
来源: 评论
Identify Influential Nodes in complex Networks: A K-Orders Entropy-Based Method
SSRN
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SSRN 2023年
作者: Wu, Yali Dong, Ang Ren, Yuanguang Jiang, Qiaoyong Department of Information and Control Engineering Xi’an University of Technology Xi’an710048 China Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi’an University of Technology Xi’an710048 China The School of Computer Science and Engineering Xi’an University of Technology Xi’an710048 China
Identifying influential nodes is a recognized challenge for the tremendous number of nodes in complex networks. Most of proposed methods detect the influential nodes based on their degree or topological location, whic... 详细信息
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Incremental control system Design and Flight Tests of a Micro-Coaxial Rotor UAV
arXiv
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arXiv 2022年
作者: Liu, Zhenchang Zhang, Yufei Chen, Haixin Zhang, Zhiduo Science And Technology On Complex System Control And Intelligent Agent Cooperation Laboratory School Of Aerospace Engineering Beijing100074 China Tsinghua University School Of Aerospace Engineering Beijing100084 China Beijing Institute Of Technology School Of Aerospace Engineering Beijing100081 China
In this paper, the incremental nonlinear dynamic inversion (INDI) method is applied to the control system design of coaxial rotor UAVs. The aerodynamic uncertainty and anti-disturbance problems are solved in the contr... 详细信息
来源: 评论