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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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Burden Distribution Decision for Blast Furnace Based on Multiple Condition State

Burden Distribution Decision for Blast Furnace Based on Mult...

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第37届中国控制会议

作者： Huicong Chen Jianqi An School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Engineering Tokyo University of Technology

The relationship of state parameters and burden distribution is uncertain in blast furnaces. In the present industry,burden operation mainly relies on the experiences of the workers. So it is difficult to control burden operation. To solve these problems, this paper presents a model to adjust the burden distribution using fuzzy C-means（FCM） and wavelet analysis. First,multiple condition states of blast furnaces are analysed through data processing, the state parameters are clustered based on the similarity, and then this paper searches for the corresponding burden parameters from the history data. Finally, for different state clusters, best burden parameters are selected to adjust the conditions. Simulation results show that the burden distribution adjustments based on the state parameters clustering are efficient.

关键词： Multiple Condition Burden Distribution Fuzzy C-Means Blast Furnace

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Bifurcation and stability analysis of a delayed fractional-order gene regulation networks with uncertain order 8

Bifurcation and stability analysis of a delayed fractional-o...

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8th International Symposium on Computational Intelligence and Industrial Applications and 12th China-Japan International Workshop on Information Technology and control Applications, ISCIIA and ITCA 2018

作者： Liu, Feng Dong, Ting Sun, Fenglan Ling, Guang School of Automation China University of Geosciences Wuhan430074 China Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Research Center of System Theory and Application Chongqing University of Posts and Telecommunications Chongqing400065 China School of Science Wuhan University of Technology Wuhan430070 China

Bifurcation and stability analysis for a fractional-order gene regulatory networks with time delay is researched. Firstly, taking time delay as the bifurcation parameter, the Hopf bifurcation and stability conditions are established. Finally, a numerical example verifies the theoretical conclusion. It is showed that time delay can heavily effect the dynamics of the system and each order has a major influence on the creation of bifurcation simultaneously. © ISCIIA and ITCA 2018 - 8th International Symposium on Computational Intelligence and Industrial Applications and 12th China-Japan International Workshop on Information Technology and control Application.

关键词： Time delay

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Deep Forest-Based Classification of Hyperspectral Images

Deep Forest-Based Classification of Hyperspectral Images

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第37届中国控制会议

作者： Xu Yin Ruilin Wang Xiaobo Liu Yaoming Cai School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Computer Science China University of Geosciences

The classification of hyperspectral images(HSIs) is a hot topic in the field of remote sensing technology. In recent years, convolutional neural network(CNN) has achieved great success for HSI classification. However, CNN has to do a great effort in parameters tuning which is time-consuming. Furthermore, a large number of samples are required to train CNN,nevertheless, it is expensive to obtain enough training samples from HSIs. In this paper, we propose a novel classification approach based on deep forest. To reduce the dimension of hyperspectral data, principal component analysis(PCA) is performed during the pre-processing. In contrast to the CNN, our method has fewer hyper-parameters and faster training speed. To the best of our knowledge, this is among the first deep forest-based hyperspectral spectral information classification. Extensive experiments are conducted on two real-world HSI datasets to show the proposed method is significantly superior to the state-ofthe-art methods.

关键词： Deep Forest Hyperspectral Image（HSI） Deep Neural Network（DNN） Principal Component Analysis（PCA）

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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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Empirical Research on a Fuzzy Model of Music Emotion Classification based on Pleasure-Arousal Model

Empirical Research on a Fuzzy Model of Music Emotion Classif...

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第37届中国控制会议

作者： Siqi Huang Li Zhou Zhentao Liu Shan Ni Jingxian He School of Arts and Communication China University of Geosciences School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

Affective computing plays a key role in music artificial intelligence, in which a music emotion classification model is indispensable. Both discrete classification model and continuous dimensional model are commonly used for music emotion classification. However, these models are not designed in views of composers, which is insufficient for the perception of music emotion. In this paper, a fuzzy music emotion classification model is proposed by extracting the music expression marks considering the composers emotion. Experiments on subjective evaluation in the feeling of pleasure and arousal according to the change of three selected features（i.e., tempo, register, and dynamic） are conducted by listeners from different subjects. The experimental results show that the correlation between the proposal fuzzy model and the the results from questionnaires reaches 80% on average, which demonstrate the validity of the proposed fuzzy music emotion classification model. The proposal could be applied to music emotion generation conveyed from either composers or players, and to emotion recognition of music as for audiences.

关键词： Music emotion Classification Affective computing Pleasure-Arousal model Fuzzy logic

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Simulation and Experimental Study on Piezoelectric Geophone Core Based on PMN-PT

Simulation and Experimental Study on Piezoelectric Geophone ...

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第37届中国控制会议

作者： JunLei Song YanXia Huang ZhiHeng Yang MeiJuan Chen Yong Yang WenQin Mo KaiFeng Dong Fang Jin School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Mathmatics and Physics China University of Geosciences

Piezoelectric geophones are vibration detectors that convert vibration acceleration signals into electrical signals. High performance piezoelectric materials can improve the sensitivity of piezoelectric geophone and meet the need of high-resolution seismic data acquisition. The comprehensive performance of relaxor piezoelectric single crystal PMN-PT is more superior than PZT, and it is potential to be applied to high sensitivity and small volume geophones. In this paper, the central compressed geophone core model based on PMN-PT was established and theoretically analyzed. Then, a multiphysics simulation model was set up in COMSOL for simulation calculation. Finally, experimental verification was carried out. The results show that using PMN-PT in geophone core design can improve the sensitivity of the model by more than 120% compared with the traditional PZT material. The PMN-PT has the potential to be applied to high sensitivity and small volume geophones.

关键词： PMN-PT PZT Piezoelectric geophone Seismic exploration Accelerometer

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To Improve Drilling Efficiency by Multi-objective Optimization of Operational Drilling Parameters in the complex Geological Drilling Process

To Improve Drilling Efficiency by Multi-objective Optimizati...

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第37届中国控制会议

作者： Chao Gan Weihua Cao Kangzhi Liu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Department of Electrical and Electronic Engineering Chiba University

Operational drilling parameters optimization is necessary for increase drilling efficiency in complex geological drilling process. There are four key objectives to evaluate the drilling efficiency, including drilling cost, rate of penetration（ROP）, drill bit life, and drill bit’s specific energy. In this paper, we proposed a multi-objective optimization method to improve drilling efficiency in the complex geological drilling process considering all the four key objectives. Firstly, the characteristics of complex geological drilling process and optimization problems are analyzed to find the vital process parameters and problems for drilling efficiency optimization. Then, a multi-objective optimization model which combines the four key objectives is ***, an improved nondominated sorting genetic algorithm（improved NSGA-II） is used to optimize the operational drilling parameters include weight on bit（WOB） and rotational speed（RS） to make drilling efficiency improved. The real case results demonstrate that our method increases the drilling efficiency in four key objectives and saves the simulation time. The proposed method provides the foundation for intelligent optimization control in complex geological drilling process.

关键词： Operational Drilling Parameters Multi-objective Optimization complex Geological Drilling Process Drilling Efficiency Improved NSGA-II

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Research on the Magnetic Field Generator of Overhauser Magnetic Sensor

Research on the Magnetic Field Generator of Overhauser Magne...

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第37届中国控制会议

作者： Xiangyu Qiu Jian Ge Haobin Dong Han Li Wang Luo Huan Liu Zhiwen Yuan Jun Zhu Haiyang Zhang School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Institute of Geophysics & Geomatics China University of Geosciences

Magnetic field generator is an essential part of the automatic measurement of geomagnetic elements. Based on the Biot-Savart law, mathematical models of magnetic field distribution of different types of magnetic field generators are established. The magnetic intensity and the homogenous area of them are discussed. The analysis results show that increasing the number of coils can increase magnetic intensity. Meanwhile, the designed sphere coil can generate a larger uniform magnetic field with a smaller geometric size, and overcomes the deficiencies in the space utilization of the traditional magnetic field generator. In addition, it has great potential to miniature the size of the geomagnetic measurement instruments.

关键词： Biot-Savart law magnetic field generator sphere coil

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Study on BCH based Encoder and Decoder Approach for EM-MWD Communication System

Study on BCH based Encoder and Decoder Approach for EM-MWD C...

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第37届中国控制会议

作者： Cheng Zhang Haobin Dong Jian Ge Huan Liu Bingjie Bai Zhiwen Yuan Jun Zhu Haiyang Zhang School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Institute of Geophysics & Geomatics China University of Geosciences

In practical applications of electromagnetic measurement while drilling(EM-MWD),the signal-to-noise ratio(SNR)of receiver cannot always meet the requirements of reliable communication conditions due to the earth-attenuation,interfering signal from well site,*** to solve these problems,this paper presents a BCH encoder and decoder technology based on BPSK for ***,the paper studies the relationship between BCH encoding error performance and decoding method,source length and other factors through simulation;then,we obtain an optimal length of BCH code for EM-MWD through analyzing the bit error performance of hard-decision decoding and soft-decision decoding with different lengths of BCH *** results show that the proposed algorithm can reduce the bit error rate at a lower SNR,achieving a reliable communication condition when the SNR of a received signal is *** is demonstrated the effectiveness of the proposed BCH encoder and decoder algorithm based on BPSK for EM-MWD.

关键词： EM-MWD system BPSK BCH Optimized coding techniques

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