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2016 IEEE Chinese Guidance, Navigation and control Conference (IEEE CGNCC2016)

作者： Xin Li Shuling Dai Rui Zeng State Key Laboratory of Virtual Reality Technology and System/Aircraft Control Integration Technology Laboratory/School of Automation Science and Electrical Engineering Beihang University

ISBN: (纸本)9781467383196

In order to improve the precision of most control method for the Stewart platform,this paper gives a novel method to determine the joint stiffness to avoid the negative effect of the actuated joint *** establish the transfer function of the linearized model between the theoretical and the real value of joint deforming length so as to estimate the joint *** the same time,in view of the special noise of the distance measuring sensor output,the unscented Kalman filter is used in signal *** experimental results show that this method can obtain the joint stiffness parameters effectively.

关键词： filter UKF Based Filtering and Curve Fitting for Estimating the Joint Stiffness of Stewart Platform Stewart

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A Virtual-Waypoint Based Artificial Potential Field Method for UAV Path Planning

A Virtual-Waypoint Based Artificial Potential Field Method f...

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2016 IEEE Chinese Guidance, Navigation and control Conference (IEEE CGNCC2016)

作者： Yuecheng Liu Yongjia Zhao State Key Laboratory of Virtual Reality Technology and System/Aircraft Control Integration Technology Laboratory/ School of Automation Science and Electrical Engineering Beihang University

ISBN: (纸本)9781467383196

Unmanned aerial vehicle(UAV) path planning is an important preliminary step in UAV mission *** potential field(APF) UAV path planning method is often employed to build an intuitive model which is updated by the additional forces pushing the trajectory away from threats of non-cooperative objects and toward the predefined ***,APF has its own weaknesses,one of which is the local minima close to concave *** tackle situation mentioned above,we propose a novel additional force model based on virtual *** model provides additional forces for candidate planning points falling into local minimum area and help them escape from local minimum *** the candidate is trapped in minimum area,firstly we calculate measure factor according to the planning area containing current candidate and the target point,and thus determine position of the virtual *** the virtual waypoint generates additional control force so that the candidate can run away from the local minimum ***,the simulation results show that the method can solve the local minimum problem in planning space.

关键词： UAV A Virtual-Waypoint Based Artificial Potential Field Method for UAV Path Planning Virtual

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Three-dimensional Route Planning Considering Threat Blind Area

Three-dimensional Route Planning Considering Threat Blind Ar...

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2016 IEEE Chinese Guidance, Navigation and control Conference (IEEE CGNCC2016)

作者： Jian Guo Xiaoyong Lei State Key Laboratory of Virtual Reality Technology and System/Aircraft Control Integration Technology Laboratory/School of Automation Science and Electrical Engineering Beihang University

ISBN: (纸本)9781467383196

The terrain defilade effect was utilized to propose a low altitude penetration 3D route planning method in consideration of blind ***,the digital elevation map and blind space model were established to obtain the terrain blind space ***,the blind space data was invocated in real-time in the planning ***,A algorithm was promoted and the planned route was smoothing *** results show that the planned route can achieve terrain avoidance and threat avoidance by using blind space ***,the smoothing process algorithm has obtained good smoothing effects.

关键词： Three-dimensional Route Planning Considering Threat Blind Area

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Real-time Simulation of Airborne FLIR Sensor

Real-time Simulation of Airborne FLIR Sensor

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2016 IEEE Chinese Guidance, Navigation and control Conference (IEEE CGNCC2016)

作者： Guanfeng Yu Guofeng Zhang State Key Laboratory of Virtual Reality Technology and System/Aircraft Control Integration Technology Laboratory/School of Automation Science and Electrical Engineering Beihang University

ISBN: (纸本)9781467383196

The work presented in this paper focuses on real-time simulation of the airborne forward looking infrared(FLIR) sensor typically configured by modern *** on infrared radiation theoretic model,the infrared transmittance model of "target-background-atmosphereimaging system" is ***,using modern computer graphics hardware,the detection signal is output in real time through the interacting of the virtual environment,which is the working process of sensors in actual infrared *** results shows that the platform can dynamically and efficiently generate realistic infrared images of helicopter varying with different simulation *** dynamic simulation of large scale infrared scene can enhance the situational awareness for pilot.

关键词： image Sensor Real-time Simulation of Airborne FLIR Sensor

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Design and validation of hydraulic pump system driven by the electromotor under the high-power and long-time working state in an airborne

Design and validation of hydraulic pump system driven by the...

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IEEE International Conference on Aircraft Utility systems (AUS)

作者： Huijun Jiang Zhenshui Li Hong Liu Zongxia Jiao Yaoxing Shang Xiaochao Liu Department of Flight Control and Hydraulic System AVIC the First Aircraft Institute Xi'an China School of Automation Science and Electrical Engineering Beihang University Beijing China

ISBN: (纸本)9781509010882

This paper introduced a type of aircraft electric hydraulic pump system working principle, the key points of the system are analyzed and described, including calculation of boost pressure, system oil temperature control design, environmental temperature checking, starting logic design, the system validation and verification methods are expounded. This system passed through the ground test and flight time Validation, and worked well and reliably.

关键词： Oils Aircraft Aerospace control Hydraulic systems Heat transfer Resistance heating

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Small P values may not yield robust findings:an example using REST-meta-PD

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Science Bulletin 2021年第21期66卷 2148-2152,M0003页

作者： Xi-Ze Jia Na Zhao Hao-Ming Dong Jia-Wei Sun Marek Barton Roxana Burciu Nicolas Carrière Antonio Cerasa Bo-Yu Chen Jun Chen Stephen Coombes Luc Defebvre Christine Delmaire Kathy Dujardin Fabrizio Esposito Guo-Guang Fan Federica Di Nardo Yi-Xuan Feng Brett W.Fling Saurabh Garg Moran Gilat Martin Gorges Shu-Leong Ho Fay BHorak Xiao Hu Xiao-Fei Hu Biao Huang Pei-Yu Huang Ze-Juan Jia Christina Jones Jan Kassubek Lenka Krajcovicova Ajay Kurani Jing Li Qing Li Ai-Ping Liu Bo Liu Hu Liu Wei-Guo Liu Renaud Lopes Yu-Ting Lou Wei Luo Tara Madhyastha Ni-Ni Mao Grainne McAlonan Martin J.McKeown Shirley Pang Andrea Quattrone Irena Rektorova Alessia Sarica Hui-Fang Shang James M.Shine Priyank Shukla Tomas Slavicek Xiao-Peng Song Gioacchino Tedeschi Alessandro Tessitore David Vaillancourt Jian Wang Jue Wang Z.Jane Wang Lu-Qing Wei Xia Wu Xiao-Jun Xu Lei Yan Jing Yang Wan-Qun Yang Nai-Lin Yao De-Long Zhang Jiu-Quan Zhang Min-Ming Zhang Yan-Ling Zhang Cai-Hong Zhou Chao-Gan Yan Xi-Nian Zuo Mark Hallett Tao Wu Yu-Feng Zang Center for Cognition and Brain Disorders the Affiliated HospitalHangzhou Normal UniversityHangzhou 310015China Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments Hangzhou 311121China National Basic Science Data Center Beijing 100190China State Key Laboratory of Cognitive Neuroscience and Learning&McGovern Institute for Brain Research Beijing Normal UniversityBeijing 100875China School of Information and Electronics Technology Jiamusi UniversityJiamusi 154007China Neuroscience Program Central European Institute of TechnologyCEITECMasaryk UniversityBrno 62500Czech Republic Department of Applied Physiology and Kinesiology University of FloridaGainesville FL 32611USA Univ.Lille InsermCHU LilleU1172-LilNCog-Lille Neuroscience&CognitionLille F-59000France The Institute for Biomedical Research and Innovation National Research CouncilMangone CS 87050Italy Department of Radiology The First Affiliated Hospital of China Medical UniversityShenyang 110001China Department of Radiology Guangdong Provincial Hospital of Chinese MedicineGuangzhou 510120China Department of Medicine Surgery and DentistryScuola Medica SalernitanaUniversity of SalernoFiscianoSA 132-84084Italy Department of Advanced Medical and Surgery Sciences University of Campania“Luigi Vanvitelli”Caserta 81100Italy Eye Center of the 2nd Affiliated Hospital Medical College of Zhejiang UniversityHangzhou 310020China Zhejiang Provincial Key Lab of Ophthalmology Hangzhou 310020China Department of Health and Exercise Science Colorado State UniversityFort Collins CO 80523USA Pacific Parkinson’s Research Centre University of British ColumbiaVancouver BC V6E 2M6Canada Department of Medicine(Neurology)University of British Columbia Vancouver BC V6T 1B7Canada Brain and Mind Center The University of SydneySydney NSW 2006Australia Department of Neurology Ulm UniversityUlm 89081Germany Division of Neurology Department of MedicineQueen Mary HospitalUniversity of Hong KongHong Kong 999077China Department of

Thousands of resting state functional magnetic resonance imaging(RS-f MRI)articles have been published on brain *** precise localization of abnormal brain activity,a voxel-level comparison is *** of the large number of voxels in the brain,multiple comparison correction(MCC)must be performed to reduce false positive rates,and a smaller P value(usually including either liberal or stringent MCC)is widely recommended[1].

关键词：帕金森病 precise correction

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AUV assisted Asynchronous Localization for Underwater Sensor Networks

AUV assisted Asynchronous Localization for Underwater Sensor...

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第35届中国控制会议

作者： Jing Yan Xiaoning Zhang Xiaoyuan Luo Yanlong Sun Xinping Guan Institute of Electrical Engineering Yanshan University Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China

ISBN: (纸本)9781509009107

Underwater sensor networks(USNs) have been identifies as a promising technology to monitor and explore the underwater *** applications of USNs demand reliable and accurate localization for sensor ***,mobility and clock asynchronous characteristics on underwater sensor nodes make it challenging to achieve *** this paper,we are concerned with AUV assisted asynchronous localization problem for USNs,where AUVs run as mobile nodes and reference points.A tracking variance threshold is set to determine the occasion of localization *** node need to be localized performs the localization protocol and communicates with the anchor ***,a method of time difference is used to eliminate the effects of asynchronous *** the localization,a motion compensation method based on estimation is proposed to compensate the movements of *** addition,the localizing errors due to velocity estimation are analyzed in error *** last,simulation results confirm the efficiency of the proposed algorithm.

关键词： Underwater sensor networks asynchronous localization mobility

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Bandwidth Allocation with Minimum Rate Constraints in Cluster-based Femtocell Networks

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International Journal of automation and computing 2015年第1期12卷 77-82页

作者： Kai Ma Liang Li Jie Yang Zhi-Xin Liu Xin-Bin Li Xin-Ping Guan School of Electrical Engineering Key Laboratory of Industrial Computer Control Engineering of Hebei Province Yanshan University Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information ProcessingMinistry of Education

Inter-femtocell interference becomes serious when femtocells are densely deployed. To mitigate the inter-femtocell interference, this paper proposes a cluster-based bandwidth allocation algorithm. We create femtocell clusters by constructing a weighted interference graph and allocate bandwidth to each cluster based on a Nash bargaining solution(NBS). Simulation results show that the cluster-based bandwidth allocation algorithm can reduce the inter-femtocell interference and meet the minimum rate constraint of each cluster.

关键词： Femtocell cluster inter-femtocell interference bandwidth allocation Nash bargaining solution(NBS)

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A Data Driven Approach for Resting-state EEG signal Classificition of Schizophrenia with control Participants Using Random Matrix Theory

arXiv

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arXiv 2017年

作者： Liu, Haichun Zhang, TianHong Ye, Yumeng Pan, Changchun Yang, Genke Wang, JiJun Qiu, Robert C. Key Laboratory of System Control and Information Processing Shanghai Jiaotong University Ministry of Education of China Shanghai200240 China Department of Automation Shanghai Jiaotong University Shanghai200240 China Shanghai Key Laboratory of Psychotic Disorders Shanghai Mental Health Center Shanghai Jiaotong University School of Medicine Shanghai200030 China Brain Science and Technology Research Center Shanghai Jiao Tong University Shanghai200240 China Department of Electrical Engineering Shanghai Jiaotong University Shanghai200240 China Department of Electrical and Computer Engineering Tennessee Technological University CookevilleTN38505 United States

Resting state electroencephalogram (EEG) abnormalities in clinically high-risk individuals (CHR), clinically stable first-episode patients with schizophrenia (FES), healthy controls (HC) suggest alterations in neural oscillatory activity. However, few studies directly compare these anomalies among each types. Therefore, this study investigated whether these electrophysiological characteristics differentiate clinical populations from one another, and from non-psychiatric controls. To address this question, resting EEG power and coherence were assessed in 40 clinically high-risk individuals (CHR), 40 first-episode patients with schizophrenia (FES), and 40 healthy controls (HC). These findings suggest that resting EEG can be a sensitive measure for differentiating between clinical *** paper proposes a novel data-driven supervised learning method to obtain identification of the patients mental status in schizophrenia research. According to Marchenko-Pastur Law, the distribution of the eigenvalues of EEG data is divided into signal subspace and noise subspace. A test statistic named LES that embodies the characteristics of all eigenvalues is adopted. different classifier and different feature(LES test function) are selected for experiments, we have shown that using von Neumann Entropy as LES test function combine with SVM classifier could obtain the best average classification accuracy during three classification among HC, FES and CHR of Schizophrenia group with EEG signal. It is worth noting that the result of LES feature extraction with the highest classification accuracy is around 90% in two classification(HC compare with FES) and around 70% in three classification. Where the classification accuracy higher than 70% could be used to assist clinical diagnosis. Copyright © 2017, The Authors. All rights reserved.

关键词： Eigenvalues and eigenfunctions

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Disturbance Observer Based Robust Finite control Set Predictive Torque control for Induction Motor systems

Disturbance Observer Based Robust Finite Control Set Predict...

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第35届中国控制会议

作者： Junxiao Wang Fengxiang Wang Shihua Li Ralph Kennel School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Institute for Electrical Drive System and Power Electronics Technische Universitaet Muenchen

ISBN: (纸本)9781509009107

A disturbance observer(DOB) based finite control set predictive torque control(PTC) scheme for induction motors subject to lumped disturbances is proposed in this *** control an induction motor using the inverter switching character directly,the finite control set predictive torque control(PTC) method is studied which evaluates the electromagnetic torque and stator flux in the object *** optimized switching vector is choosed to control the insulated gate bipolar transistors(IGBTs),it also can minimize the error between reference signals and predicted *** to direct torque control(DTC),PTC method does not need a modulator and an internal current PI controller,but the speed loop also adopts the PI *** improving the disturbance reject ability and simplifying the PTC control structure,this work introduces a novel PTC method based on DOB technique which does not need the PI speed controller.

关键词： induction motor disturbance observer(DOB) predictive torque control(PTC) direct torque control(DTC) disturbance reject ability

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