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检索条件"机构=Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex System"
1687 条 记 录,以下是1561-1570 订阅
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Application of Hilbert-Huang decomposition to reduce noise and characterize for NMR FID signal of proton precession magnetometer
arXiv
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arXiv 2017年
作者: Huan, Liu Haobin, Dong Liu, Zheng Ge, Jian Bai, Bingjie Zhang, Cheng School of Automation China University of Geosciences Hubei Wuhan430074 China School of Engineering University of British Columbia Okanagan Campus KelownaBCV1X 1V7 Canada Institute of Geophysics and Geomatics China University of Geosciences Hubei Wuhan430074 China Hubei Key Laboratory of Advance Control and Intelligent Automation for Complex Systems Hubei Wuhan430074
The parameters in a nuclear magnetic resonance (NMR) free induction decay (FID) signal contain information that is useful in magnetic field measurement, magnetic resonance sounding (MRS) and other related applications... 详细信息
来源: 评论
Model-Based and Data-Driven control of Event- and Self-Triggered Discrete-Time LTI systems
arXiv
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arXiv 2022年
作者: Wang, Xin Berberich, Julian Sun, Jian Wang, Gang Allgöwer, Frank Chen, Jie The Key Laboratory of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing10081 China The Beijing Institute of Technology Chongqing Innovation Center Chongqing401120 China The University of Stuttgart Institute for Systems Theory and Automatic Control Stuttgart70550 Germany The Department of Control Science and Engineering Tongji University Shanghai201804 China The State Key Lab of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing100081 China
The present paper considers the model-based and data-driven control of unknown linear time-invariant discretetime systems under event-triggering and self-triggering transmission schemes. To this end, we begin by prese... 详细信息
来源: 评论
Spherical interpolated convolutional network with distance-feature density for 3D semantic segmentation of point clouds
arXiv
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arXiv 2020年
作者: Wang, Guangming Yang, Yehui Zhang, Huixin Liu, Zhe Wang, Hesheng Department of Automation Insititue of Medical Robotics Key Laboratory of System Control and Information Processing of Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Jiao Tong University Shanghai200240 China Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of Technology China Department of Computer Science and Technology University of Cambridge United Kingdom
The semantic segmentation of point clouds is an important part of the environment perception for robots. However, it is difficult to directly adopt the traditional 3D convolution kernel to extract features from raw 3D... 详细信息
来源: 评论
An Insulator Missing Defect Detection Method Based on Unmanned Aerial Vehicles
An Insulator Missing Defect Detection Method Based on Unmann...
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International Conference on control and automation (ICCA)
作者: Yulong Zhang Zhongxian Zhou Lingxia Mu Xianghong Xue Jing Xin Youmin Zhang School of Automation and Information Engineering Xi'an University of Technology Xi'an Shaanxi China Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an China Department of Mechanical Industrial and Aerospace Engineering Concordia University Montreal Quebec Canada
In this paper, an insulator missing defect detection method is proposed based on unmanned aerial vehicles to solve the problem of glass insulator burst fault detection in high-voltage transmission lines. Firstly, the ... 详细信息
来源: 评论
Architectural distortion recognition based on a subclass technique and the sparse representation classifier
Architectural distortion recognition based on a subclass tec...
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International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)
作者: Xiaoming Liu Leilei Zhai Ting Zhu Zhou Yang School of Automation Huazhong University of Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan China Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Wuhan China College of Computer Science and Technology Wuhan University of Science and Technology Wuhan China
Architectural distortion is the third most common sign of breast cancer in mammograms. The accurate recognition is important for computer aided diagnosis of breast cancer. However, due to the subtle symptom and comple... 详细信息
来源: 评论
A threshold segmentation method for non-uniform illumination image based on brightness equalization
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IOP Conference Series: Materials Science and Engineering 2019年 第5期569卷
作者: Hui Guo Peng Chen Shun Huang Cong Hu Lijun Zhang School of Automation China University of Geosciences Wuhan 430074 China Hubei key laboratory of Advanced Control and Intelligent Automation for Complex System Wuhan 430074 China
In the process of image acquisition, non-uniform illumination images are common due to poor lighting, surface reflection, or a combination of these two factors. In order to improve the quality of image segmentation, a...
来源: 评论
Image retrieval based on convolutional neural network and linear discriminate analysis
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IOP Conference Series: Materials Science and Engineering 2019年 第5期569卷
作者: Wei Xia Cong Hu Xianghui Cheng Peng Chen Xing Jin School of Automation China University of Geosciences Wuhan 430074 China Hubei key laboratory of Advanced Control and Intelligent Automation for Complex System Wuhan 430074 China
Image retrieval is a hot research topic in the field of computer vision image processing, and the user queries the image database for similar images and produces a list of recommendations. The paper firstly sets forth...
来源: 评论
Open-/Closed-loop Active Learning for Data-driven Predictive control
arXiv
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arXiv 2024年
作者: Feng, Shilun Shi, Dawei Shi, Yang Zheng, Kaikai The State Key Laboratory of Intelligent Control and Decision of Complex Systems MIIT Key Laboratory of Servo Motion System Drive and Control School of Automation Beijing Institute of Technology Beijing100081 China The Department of Mechanical Engineering Faculty of Engineering University of Victoria VictoriaBCV8N 3P6 Canada
An important question in data-driven control is how to obtain an informative dataset. In this work, we consider the problem of effective data acquisition of an unknown linear system with bounded disturbance for both o... 详细信息
来源: 评论
Local Path Planning Algorithm for UGV Based on Improved Covariance Matrix Adaptive Evolution Strategy
Local Path Planning Algorithm for UGV Based on Improved Cova...
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第33届中国控制与决策会议
作者: Jiangbo Zhao Jiaquan Zhang Junzheng Wang Xin Zhang Yanlong Wang Key Laboratory of Complex System Intelligent Control and Decision School of AutomationBeijing Institute of Technology Key Laboratory of Servo Motion System Drive and Control Ministry of Industry and Information TechnologySchool of AutomationBeijing Institute of Technology Technical center Xinxing Cathay International Group Co.Ltd. Techenology Center of Special Vehicle Manufacture and Evaluation Engineering of Beijing Beijing North Vehicle Group Co.Ltd.
Local path planning algorithm is one of the key technologies for unmanned ground vehicle(UGV).In order to reduce the computational complexity of the local path planning algorithm and ensure the real-time performance o... 详细信息
来源: 评论
Path Planning and Evaluation for Obstacle Avoidance of Manipulator Based on Improved Artificial Potential Field and Danger Field
Path Planning and Evaluation for Obstacle Avoidance of Manip...
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第33届中国控制与决策会议
作者: Jiangbo Zhao Qiang Zhao Junzheng Wang Xin Zhang Yanlong Wang Key Laboratory of Complex System Intelligent Control and Decision School of AutomationBeijing Institute of Technology Key Laboratory of Servo Motion System Drive and Control Ministry of Industry and Information TechnologySchool of AutomationBeijing Institute of Technology Technical center Xinxing Cathay International Group Co.Ltd. Technology Center of Special Vehicle Manufacture and Evaluation Enginneering of Beijing Beijing North Vehicle Group Co.Ltd.
This paper takes 6-DOF manipulator as the research object,proposes the improved Artificial Potential Field(APF) method to plan the obstacle avoidance path of the manipulator,and combines the Danger Field(DF) method to... 详细信息
来源: 评论