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检索条件"机构=Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan"

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Application of pseudo random correlation identification method based on LabViewin electromagnetic prospecting

Application of pseudo random correlation identification meth...

引用

Chinese control Conference (CCC)

作者： Fan Li ZhiHua Li Hongwei Li Zikun Yang Pei Gao Wenqi Zhou School of Automation china University of Geosciences Wuhan Hubei Key Laboratory of Advanced Contol and Intelligent Automation for Complex Systems Wuhan

Electromagnetic exploration plays an important role in the development of mineral, oil and gas resources and other minerals. With the improvement of exploration depth and longitudinal resolution, as well as the increasing humanistic interference in modern society, the electromagnetic exploration method put forward higher requirements. Improving the signal to noise ratio is the key to the development of electromagnetic exploration. Since the pseudo-random sequence is proposed as an artificial field source in the exploration of electromagnetic field, the pseudo-random technique based on correlation identification is also applied to the exploration of electromagnetic method in view of the good correlation characteristics and anti -jamming ability of pseudo-random sequence. In this paper, the principle of correlation identification is introduced, and the realization of correlation spectrum analysis in Lab View is studied. The 2 n sequence pseudorandom signal is used as system excitation signal to verify the anti-jamming performance of correlation identification method in electromagnetic prospecting. It has great application prospect.

关键词： Correlation Interference Electromagnetics Spectral analysis Signal to noise ratio White noise Fourier transforms

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Study of Underground River Tracing System Based on SINS

Study of Underground River Tracing System Based on SINS

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Chinese control Conference

作者： Hongwei Li Zhihua Liu Fan Li Zikun Yang Pei Gao Wenqi Zhou School of Automation China University of Geosciences Wuhan Hubei Key Laboratory of Advanced Contol and Intelligent Automation for Complex Systems Wuhan

Underground rivers are underground flowing water that develop in carbonate areas or in water enrichment formations. At present, the underground river detection methods mainly include isotope tracer method, magnetotelluric method, and controllable source audio magnetotelluric method. In this paper, according to consulting a large amount of literature data, a new method of underground river tracing based on strapdown inertial navigation technology is proposed. The inertial device is installed on a floating carrier and the carrier is drifted with river water. The acceleration and angular velocity of the carrier are recorded, and the trajectory of the carrier is calculated by the attitude algorithm, then obtaining a concrete trace of the underground river. This method overcomes the disadvantages of the traditional measurement methods that are greatly affected by the environment and difficult to measure.

关键词： Rivers Detectors Inertial navigation Quaternions Acceleration Trajectory Position measurement

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Street Object Detection Based on Faster R-CNN

Street Object Detection Based on Faster R-CNN

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第37届中国控制会议

作者： Wendi Cai Jiadie Li Zhongzhao Xie Tao Zhao Kang Lu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems The Library of Wuhan University of Technology

With the increased number of traffic accidents, the research and development of smart cars have been *** detection of street objects has become one of the important research topics. Generic Model detection algorithm based on Convolution Neural Network(CNN) need to design the training model, while the training and testing of the model will take a lot of time. Transfer Learning is used to fine-tune the pre-trained models, using the Image task datasets of COCO, transferring a generic deep learning model to specific one with different weights and outputs. Furthermore, the CNN structure is adjusted to improve overall performance, and the street environment is trained to the special scene. We compare the results of experiments,and the results showed that the network which is fine-tuned is effective.

关键词： Transfer Learning Faster R-CNN Inception-ResNet-v2 Object Detection

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An optimization method for coupling matrix elements of microwave filter

An optimization method for coupling matrix elements of micro...

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第37届中国控制会议

作者： Xiao-Long Zhuang Wei-Hua Cao Yan Yuan Can Liu Yu-Sheng Guo School of Automation China University of Geosciences China Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

This paper proposes a coupling matrix element optimization method for microwave filters. The traditional method is more complex and does not directly optimize the filter coupling matrix elements. The firefly algorithm optimization method used in this paper directly optimizes the elements of the N + 2 order coupling matrix. Compared with the traditional method, it has better speed and optimization effect. First, the elements of the specific coupling matrix are introduced into the optimization algorithm to be executed, then the matrix is iterated through the set objective function. Finally, when the optimized data is within the allowable range, the optimization of the elements of the coupling matrix is stopped and optimization is performed. The resulting coupling matrix outputs the response. To prove the effectiveness of the proposed method, three methods were used to optimize the coupling matrix elements of the fourth-order filter and compare the final optimization results.

关键词： computer aided tuning coupling matrix ploynomial model extraction optimization

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Analysis and Fractional PD control Bifurcation of a Fractional-Order Genetic Regulatory Networks with Delays

Analysis and Fractional PD Control Bifurcation of a Fraction...

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第37届中国控制会议

作者： Feng Liu Ting Dong Qicheng Mei Shiqi Zheng Guang Ling Longsheng Wei School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Science Wuhan University of Technology

In this paper, a fractional-order gene regulatory network model with two delays is investigated. The existence condition of Hopf bifurcation is deduced by analyzing its characteristic equation, where the total delay is taken as a bifurcation parameter. These bifurcation behaviors may cause the network system heavy oscillation and instability. An fractional PD control method is proposed to control bifurcations in the system. Finally, numerical simulations are provided to verify the theoretical analysis. Simulation results show that the nonlinear behavior of the system can be controlled by this method.

关键词： Hopf bifurcation fractional PD control genetic regulatory networks time delays

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Bifurcation Analysis and control of Fractional-Order Quorum Sensing Network

Bifurcation Analysis and Control of Fractional-Order Quorum ...

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第37届中国控制会议

作者： Liu Feng Dai Xiangjuan Mei Qicheng Ling Guang Wang Xinmei School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Science Wuhan University of Technology

In this paper, bifurcation analysis and control of fractional-order quorum sensing network regulated by s RNA is studied. The dynamics of fractional quorum sensing network with time-delay is analyzed. The stability criterion and bifurcation conditions of the fractional quorum sensing network are given. In order to control the dynamic properties of fractional order systems, a feedback controller is designed, and the complex dynamics of controlled fractional-order networks are further investigated. The simulation results show that this control method can achieve the ideal control effect.

关键词： Quorum sensing network fractional-order bifurcation control

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An Initiative Service Method with Regard to Degree of Sleepiness for Drinking Service Robot

An Initiative Service Method with Regard to Degree of Sleepi...

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Chinese control Conference

作者： Zhen-Tao Liu Si-Han Li Wei-Hua Cao Man Hao Lin-Bo Xian Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Wuhan WXYZ Technologies Co. Ltd. Wuhan China

To ensure the efficiency of people's work while working long hours, an initiative service method with regard to degree of sleepiness for drinking service robot is proposed. It can recognize the degree of sleepiness and provide initiative service to increase the efficiency of people's work. Degree of sleepiness is defined as three levels by observer rating, which is supposed to be associated with human actions, environmental factors, and individual factors. In addition, a model of degree of sleepiness based on Finite State Machines (FSM) is introduced. The relationship between human demands and degree of sleepiness is established through demand analysis model by which the initiative service with regard to degree of sleepiness for drinking service robot is achieved. Experiments on real initiative drinking service are performed in a multimodal emotional communication based on human-robot interaction (MEC-HRI) system, from which the experimental results show that the time of initiative service is 8 minutes earlier than that without initiative service. In prospect, the proposal could be applied to other kinds of services such as health care, safety driving assistance, and other safety work assistance.

关键词： Sleep Service robots Analytical models Environmental factors Temperature Brain modeling

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Design and Application of a Web-based Comprehensive Evaluation and Decision Support System for Tobacco Cultivation Process

Design and Application of a Web-based Comprehensive Evaluati...

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Chinese control Conference

作者： Gong Chen Yonghua Xiong Wei Chen Hao Zhou School of Automation China University of Geoscience Wuhan Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan Guizhou Tobacco Science Institute Guiyang

The evaluation and decision support system are widely used in agriculture with the development of information technology. In this paper, a Web-based comprehensive evaluation and decision support system (WCEDSS) is designed for flue-cured tobacco cultivation process. Using the artificial neural networks and some image processing methods, WCEDSS can predict various indicators of tobacco such as yield and flue-cured score, or give decisions at different stages of tobacco cultivation. As the system is developed by the Browser/Server (B/S) architecture, it is possible to make full use of the Internet resources and to facilitate users at any place with access to the Internet. Test results indicates that WCEDSS can achieve good performance. With other auxiliary functions, the system shows potential and extensive practicality in agricultural information management and guidance.

关键词： Agriculture Artificial neural networks Computer architecture Image color analysis Databases Decision support systems Maintenance engineering

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Measurement System of Ferromagnetic Film Magnetic Properties Based on Mazneto-optical Kerr Effect

Measurement System of Ferromagnetic Film Magnetic Properties...

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Chinese control Conference (CCC)

作者： Xueying Fu Wenqin Mo Shun Yuan Liming Xu Junlei Song Kaifeng Dong Fang Jin Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Hubei key Lab. of Adv. Control & Intell. Autom. for Complex Syst. Wuhan China

A new measuring system for magnetic properties of the ferromagnetic thin film has developed based on magneto-optical Kerr effect (MOKE). This system can realize both polar MOKE and longitudinal MOKE measurements through the optimization of optical path and electromagnet's poles. The signal processing software on Lab View has been also designed to acquire the Kerr signal and plot the hysteresis loop. The MOKE measurements have been performed to investigate the magnetic properties of ferromagnetic films such as CoFeSiB, permalloy and NiFe/Ag/NiFe multilayer. The experimental results proved that the system has a high angular accuracy of 0.0008°.

关键词： Magnetic field measurement Magnetic fields Kerr effect Magnetic hysteresis Optical variables measurement Optical films Biomedical measurement

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Exponential Stability of Highly Nonlinear Neutral Stochastic Differential Delay Equations

Exponential Stability of Highly Nonlinear Neutral Stochastic...

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Chinese control Conference (CCC)

作者： Yinghui Hu Xiaofeng Zong Jinhua She Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China School of Engineering Tokyo University of Technology Tokyo Japan

This paper investigates the mean square and almost sure stability of a class of neutral stochastic differential delay equations with highly nonlinear coefficients. We first examine the regularity of the solution to the highly nonlinear neutral stochastic differential delay systems. Then the explicit stability conditions are obtained by the Lyapunov functional and semi-martingale convergence theorem. Especially, the explicit stability conditions of pure delay neutral stochastic differential delay equations are obtained. It is revealed that the delay term in the drift can contribute to the mean square and almost sure stability.

关键词： Stability criteria Delays Asymptotic stability control theory Differential equations

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