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第42届中国控制会议

作者： Hanqi Qu Chengda Lu Yutong Pan Yuxuan Zeng Min Wu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

Landslide disasters are extremely *** identification of landslides plays an important role in disaster assessment,loss control and post-disaster *** paper proposes a semantic segmentation landslide identification method based on improved *** deep convolution neural network and jump connection method is used for end-toend semantic segmentation to achieve deep feature extraction and fusion of different receptive fields,thus enriching feature *** modules are adopted to enhance the ability of the model to extract important features,so as to further improve the accuracy of model *** experiments show that our improved U-Net achieves better performance than the original algorithm on our landslide *** results of lou are improved by 4.12% which demonstrates our work is of great significance for the research of landslide area ***,the model is deployed to the web and applied to the geological hazard intelligent monitoring system to realize the landslide identification task.

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Design and implementation of Gaussian filter for nonlinear system with randomly delayed measurements and correlated noises

Design and implementation of Gaussian filter for nonlinear s...

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第42届中国控制会议

作者： Weijie Cui Xinmei Wang Qian Hu Fei Du School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

A new Gaussian approximate(GA) filter for nonlinear systems with one-step randomly delayed measurement and correlated noise is proposed in this ***,a general framework of Gaussian filter is designed under Gaussian assumption on the conditional ***,the implementation of Gaussian filter is transfomed into the approximation of the Gaussian weighted integral in the proposed ***,a new cubature Kalman filtering(CKF)algorithm is developed on the basis of the spherical-radial cubature *** efficiency and superiority of the proposed method are illustrated in the numerical examples.

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ReaxFF molecular dynamic simulation of primary and secondary reactions involving in sub-bituminous coal pyrolysis for tar production

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Carbon Resources Conversion 2021年第1期4卷 230-238页

作者： Yanan Qian Jin-Hui Zhan Wei Xu Zhennan Han Xiaoxing Liu Guangwen Xu State Key Laboratory of Safety and Control for Chemicals SINOPEC Research Institute of Safety Engineering Co.Ltd.Qingdao 266071China State Key Laboratory of Multiphase Complex System Institute of Process EngineeringChinese Academy of SciencesBeijing 100190China Key Laboratory on Resources Chemicals and Materials of Ministry of Education of China Shenyang University of Chemical TechnologyShenyang 110142China

ReaxFF molecular dynamic simulation combined with experimental verification was performed to understand the overall reaction mechanism,especially the primary and secondary reactions involving in tar formation of sub-bituminous coal *** relationship at atomic level is clarified between bond breakage of functional groups and products generation,revealing that the amount and order in forming each product are subject to the number of corresponding functional groups and their bond energies *** primary breakage of-C-O-and-C-C-bridge-bonds present in initial coal macromolecular generates molecular of heavy tar,whereas heavy tar can be converted into light tar through cracking side chain of aromatic rings and cyclic hydrocarbons at increased pyrolysis *** very high temperatures the cracking of short-chain hydrocarbons and residual atoms connecting to aromatic rings further occurs to generate light tar and *** remaining aromatic-ring fragments of heavy tar are likely cross-linked to form ***,the simultaneous evolution tendency of tar yield and tar quality under different pyrolysis temperatures and heating rates is obtained at molecular *** obtaining high yield and quality of tar,appropriately high temperature as well as suitable heating rate are needed to compromise the high yield of primary tar and high quality of secondarily upgraded products.

关键词： ReaxFF MD simulation Sub-bituminous coal pyrolysis Reaction paths Primary formation Secondary upgrading

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Optimal Carbon Capture,Utilization and Storage Planning for Multi-Energy System

Optimal Carbon Capture,Utilization and Storage Planning for ...

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第42届中国控制会议

作者： Aoyu Hu Da Xu Menglu Gao School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

In response to the national dual carbon policy,carbon capture,utilization and storage（CCUS） are currently attracting much *** paper proposes optimal CCUS planning for multi-energy *** this multi-energy system,transmission network and natural gas network are coupled via conversion and storage devices in the energy *** CCUS planning is formulated based on a source-sink matching method to analyze the CO capture points,CO storage points and CO transportation ***,the original CCUS planning problem is reformulated as a mixed integer second order cone programming（MISOCP） and subsequently solved to guarantee a satisfactory convergence *** studies on an urban multienergy system are implemented to verify the effectiveness and superiority of the proposed methodology over conventional scheme.

关键词： Networked system carbon reduction energy hub

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State Estimation for Markov Jump Genetic Oscillator Networks Based on Hidden Markov Model

State Estimation for Markov Jump Genetic Oscillator Networks...

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第42届中国控制会议

作者： Banming Ruan Xiongbo Wan School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

This paper addresses the problem of state estimation for Markov jump genetic oscillator networks with time-varying delays based on hidden Markov model. Two non-identical types of time-varying delays, that is, the intercellular coupling delay,and the regulatory delay are considered in consideration in genetic oscillator networks. Then a state estimator is designed by solving a set of linear matrix inequalities that can be solved with existing software. Finally, The effectiveness of state estimation approach can then be demonstrated through a numerical example.

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Design and Application of a One-Stop Mobile Application Sharing Platform for Steel Enterprises 42

Design and Application of a One-Stop Mobile Application Shar...

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42nd Chinese control Conference, CCC 2023

作者： Chen, Xinzhe Chen, Luefeng Hu, Jie Yang, Qingfeng Wu, Min Pedrycz, Witold School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China University of Alberta Department of Electrical and Computer Engineering EdmontonABT6R 2G7 Canada

ISBN: (纸本)9789887581543

As China's steel production accounts for an increasing share of the world's output, the intelligent transformation of the steel industry is becoming increasingly urgent. To address issues such as low levels of mobile informationization in steel enterprises and the lack of an industry-specific mobile application platform, it is of great significance to establish a shared mobile application platform for the steel industry. In this paper, the requirements of the platform were analyzed, and the platform's functions were designed. The software design of the platform was then carried out, and the entire mobile application sharing platform was developed, effectively improving the production management efficiency of steel enterprises. The results indicate that the platform can effectively meet the needs of steel enterprises and has significant engineering significance. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Informatization

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Potential Transmission Choice for Internet of Things(IoT):Wireless and Batteryless Communications and Open Problems

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China Communications 2021年第2期18卷 241-249页

作者： Zhan Xu Guanjie Hu Minzheng Jia Lan Dong School of Information and Communication Engineering and with Key Laboratory of Modern Measurement&Control Technology Ministry of EducationBeijing Information Science&Technology UniversityChina Beijing Key Lab of Transportation Data Analysis and Mining School of Computer and Information TechnologyBeijing Jiaotong UniversityBeijingChina Department of Information Engineering Beijing Polytechnic CollegeBeijingChina

The 5th generation mobile communications aims at connecting everything and future Internet of Things(IoT)will get everything smartly *** realize it,there exist many *** key challenge is the battery problem for small devices,such as sensors or *** backscatter,also referred to as or battery-free backscatter,is a new potential technology to address this *** early and typical type of batteryless backscatter is ambient ***,batteryless backscatter utilizes environmental wireless signals to enable battery-free devices to communicate with each *** devices first harvest energy from ambient wireless signals and then backscatter these signals so as to transmit their own *** paper reviews the current studies about batteryless backscatter,including various backscatter schemes and theoretical works,and then introduces open problems for future research.

关键词： batteryless backscatter battery-free channel state information(CSI) channel estimation multiple antennas signal detection symbiotic communication

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An Active Suppression Method Considering Input Time-Delay for Stick-Slip Vibration in the Drilling Procedure

An Active Suppression Method Considering Input Time-Delay fo...

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第42届中国控制会议

作者： Hao Sun Chengda Lu Zhaoqing He Shengnan Tian Zhejiaqi Ma Min Wu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education

This paper uses the wave equation to explain the torsional motion of the drill-string system.S olving the wave equation with the D'Alembert method,a neutral time-delay model of the drill-string system is *** disturbance input,caused by the bit-rock interaction,is given consideration,and an equivalent-input-disturbance(EID) based controller is designed to mitigate the disturbance in the established *** the actual drilling procedure,the system input time-delay increases as the length of the drill columns *** the influence of system input time-delay in the drilling procedure is ignored,it will most likely lead to the drill-string system instability and cause serious *** essential contribution of this paper is the incorporation of input time-delay into the EID based control *** the system's input time-delay,the proposed model is more practical and has significant implications for stick-slip vibration assessment and control in drilling procedures.

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Robust control of Feeding Speed in Coal Seam Drilling Process Considering Borehole Friction

Robust Control of Feeding Speed in Coal Seam Drilling Proces...

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2024 China Automation Congress, CAC 2024

作者： Liu, Xiao Chen, Luefeng Lu, Chengda Fan, Haipeng Wu, Min Pedrycz, Witold School of Automation The Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems The Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education China University of Geosciences Wuhan430074 China Department of Electrical and Computer Engineering University of Alberta EdmontonABT6G 2R3 Canada Systems Research Institute Polish Academy of Sciences Warsaw00-901 Poland Department of Computer Engineering Istinye University Sariyer Istanbul34396 Turkey

ISBN: (纸本)9798350368604

During the coal seam drilling process, the drill string is subject to compressive deformation, compounded by unpredictable variations in formation hardness and borehole wall friction, leading to challenges in maintaining a stable feeding speed. This paper presents a novel approach by introducing uncertain parameters to describe the effects of formation hardness and borehole wall friction. Drill string axial movement model is modeled as a polyhedral system based on a lumped parameter representation. To meet industrial performance requirements, we design a robust H∞ controller to achieve consistent feeding speed control. Our simulation results demonstrate the controller’s effectiveness in ensuring system stability despite fluctuations in formation hardness and drill string friction. © 2024 IEEE.

关键词： Coal deposits

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A Lightweight Object Detection Network for Industrial Robot Based YOLOv5

A Lightweight Object Detection Network for Industrial Robot ...

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Chinese Automation Congress (CAC)

作者： Tao Zhong Yahui Gan Zao Han Huan Gao Ang Li Key Laboratory of Measurement and Control of Complex Systems of Engineering School of Automation Southeast University Ministry of Education NanJing China Nanjing YingQi Intelligent Technology Co. Ltd. Intel Joint Research Institute on Intelligent Edge Computing NanJing China

With the rapid development of deep learning, it has been widely applied in fields such as computer vision, natural language processing, and robotics. Despite the superior performance of deep learning in object detection, most industrial vision robots still rely on traditional object detection methods due to computational constraints of robot controllers. In order to improve the performance of object detection for vision robots, a lightweight 3D object detection network based on You Only Look Once version 5 (YOLOv5) is proposed for satisfying industrial production. YOLOv5 work to efficiently object detection using deep convolutional networks. In terms of model deployment, we adopt a novel OpenVINO-based model deployment approach. The OpenVINO framework significantly enhances the inference speed of models by model optimization and compression. Our model achieves a 70% reduction in inference time compared to the baseline model on CPU. The effectiveness of the proposed method is demonstrated through experiments.

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