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Robust tracking control design for a flexible air-breathing hypersonic vehicle

Journal of Central South University 2014年第1期21卷 130-139页

作者：张垚鲜斌刁琛赵勃郭建川 Institute of Robotics and Autonomous System Tianjin Key Laboratory of Process Measurement and ControlSchool of Electrical Engineering and AutomationTianjin University

A nonlinear robust controller was presented to improve the tracking control performance of a flexible air-breathing hypersonic vehicle(AHV) which is subjected to system parametric uncertainties and unknown additive time-varying *** longitudinal dynamic model for the flexible AHV was used for the control ***-gain observers were designed to compensate for the system uncertainties and additive *** gain theorem and Lyapunov based stability analysis were utilized to prove the stability of the closed loop *** uniformly ultimately bounded tracking of the vehicle's velocity,altitude and attack angle were achieved under aeroelastic effects,system parametric uncertainties and unknown additive ***/Simulink simulation results were provided to validate the robustness of the proposed control *** simulation results demonstrate that the tracking errors stay in a small region around zero.

关键词： hypersonic vehicles nonlinear robust control flexible mode small gain theorem Lyapunov

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Coordinated Adaptive control for Coordinated Path-following Surface Vessels with a Time-invariant Orbital Velocity

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IEEE/CAA Journal of Automatica Sinica 2014年第4期1卷 337-346页

作者： Yangyang Chen Ping Wei Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSoutheast University the Department of Electronic Information Engineering Anhui Business College

This article considers the problem of directing a family of fully actuated surface vessels to cooperatively follow a set of convex and closed orbits with a time-invariant reference orbital velocity and maintain attitude synchronization. A consensusbased adaptive control law under a bidirectional communication topology is proposed to estimate the reference orbital velocity so that the restriction that every vessel in the family must have access to the reference in the previous literature can be *** assumption of nonzero total linear speed of each vessel is removed by the use of potential function. Simulation results demonstrate the effectiveness of the proposed approach.

关键词： Coordinated adaptive control coordinated path-following attitude synchronization fully actuated surface vessels

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Identification of the electronic equipment's power-on characteristics based on the bus voltage ripple data

Identification of the electronic equipment's power-on charac...

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IEEE International Conference on Mechatronics and Automation

作者： Xianhui Meng Fusheng Zhang Weiling Liu Chao Tan Institute of Manned Space System Engineering China Academy of Space Technology Beijing China Tianjin Key Laboratory of Process Measurement and Control Tianjin University Tianjin China

ISBN: (纸本)9781479970995

The research method of identification of the electronic equipment's power-on characteristics based on the data of bus voltage ripple is introduced. The main purpose is to achieve the recognition of the equipment's power-on characteristics through a certain algorithm design, and provide reference for the follow-up intelligent applications of the bus-ripple-tester. Two methods are used here. One is frequency spectrum analysis based on the collected signals. Due to the differences of spectrum distribution between these equipment's signals collected before and after their power-on time, the frequency band of each equipment's characteristic distribution is different, which make it possible to achieve the purpose of identification. The other is the time-frequency analysis based on wavelet transform. According to the difference of wavelet energy of the equipment's signals collected before and after their power-on time, the equipment can be recognized.

关键词： Time-frequency analysis Noise reduction Signal processing Continuous wavelet transforms

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Research on Panoramic Vision system of Mobile Robot

Research on Panoramic Vision System of Mobile Robot

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第27届中国控制与决策会议

作者： Qiaobing Yao Hualong Yu Wankou Yang Changyin Sun School of Autmation Southeast University Key Lab of Measurement and Control of Complex Systems of Engineering Ministry of EducationSoutheast University Key Laboratory of Child Development and Learning Science of Ministry of Education Southeast University

ISBN: (纸本)9781479970186

This paper presents an imaging method for 360-degree panoramic view based on four wide angle *** order to complete the image mosaic,all the parameters such as focal length,principal point and distortion coefficients,etc are calibrated by our proposed calibration ***,our approach does not adopt the scheme which stitching all the images to the surrounding view after distortion *** proposed method directly calculates the mapping relationship between the wide-angle lens images and cylindrical projection images to generate lookup tables which can greatly simplifies the computation and reduces the loss of information in each ***,panoramic image is composed by image registration and image *** results show that this method is valid.

关键词： Image mosaic Camera calibration Cylindrical projection LUTs

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A Pedestrian Detection Method Based on MBLBP Features and Intersection Kernel SVM

A Pedestrian Detection Method Based on MBLBP Features and In...

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2015年中国智能自动化学术会议

作者： Xuejie Nian Ke Xie Wankou Yang Changyin Sun School of Automation Southeast University Key Lab of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Key Laboratory of Child Development and Learning Science of Ministry of Education Southeast University

Pedestrian detection is a hot research topic in pattern recognition and computer vision. We combine MBBP（Multiscale Block Local Binary Patterns）feature and Histogram Intersection Kernel SVM and apply them to pedestrian detection. MBBP features, which make up for the lack of LBP（Local Binary Patterns） features in robustness, is a kind of effective texture description *** Intersection Kernel Support Vector Machine has the advantage of fast classification and high accuracy in object recognition. It can be used for further enhancing the system's real-time performance. The experiments show that the proposed approach has higher precision than the classical algorithm HOG+Linear SVM and the HOGBP Features Fusion tested on the established benchmarking datasets—INRIA.

关键词： Pedestrian detection MBLBP features HIKSVM

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K-Means Clustering Based on Density for Scene Image Classification

K-Means Clustering Based on Density for Scene Image Classifi...

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2015年中国智能自动化学术会议

作者： Ke Xie Jin Wu Wankou Yang Changyin Sun School of Autmation Southeast University Key Lab of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Key Laboratory of Child Development and Learning Science of Ministry of Education Southeast University

K-means clustering has been extremely popular in scene image classification. However, due to the random selection of initial cluster centers, the algorithm cannot always provide the most optimal results. In this paper, we develop a density-based k-means clustering. First, we calculate the density and distance for each feature vector. Then choose those features with high density and large distance as initial cluster centers. The remaining steps are the same with k-means. In order to evaluate our proposed algorithm, we have conducted several experiments on twoscene image datasets: Fifteen Scene Categories dataset and UIUC Sports Event dataset. The results show that our proposed method has good repeatability. Compared with the traditional k-means clustering, it can achieve higher classification accuracy when applied in multiclass scene image classification.

关键词： K-means Density Scene image classification

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MPCA on Gabor Tensor for Face Recognition

MPCA on Gabor Tensor for Face Recognition

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2015年中国智能自动化学术会议

作者： Jin Wu Xuejie Nian Wankou Yang Changyin Sun School of Automation Southeast University Key Lab of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Key Laboratory of Child Development and Learning Science of Ministry of Education Southeast University

There is a growing interest in subspace learning techniques for face recognition. This paper proposes a novel face recognition method based on MPCA with Gabor tensor representation. Although the Gabor face representation has achieved great success in face recognition, the excessive dimension of the data space often brings the algorithms into the curse of dimensionality dilemma. In this paper, we propose a 3rd-order Gabor tensor representation derived from a complete response set of 40 Gabor filters. Then MPCA(Multi-linear Principal Component Analysis) is applied to each Gabor tensor to extract three discriminative *** dimension reduction is done in such a way that most useful information is retained. The subspaces are finally integrated for classification. Experimental results on ORL database show promising results of the proposed method.

关键词： Face recognition MPCA Gabor tensor Representation

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A decomposition approach to colored traveling salesman problems

A decomposition approach to colored traveling salesman probl...

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IEEE International Conference on Automation Science and engineering (CASE)

作者： Jun Li Xing Dai Huaxuan Liu MengChu Zhou Ministry of Education Key Laboratory of Measurement and Control of CSE (Complex Systems of Engineering) Southeast University Nanjing China Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA

As a well-known combinatorial optimization problem, multiple traveling salesman problem (MTSP) fails to characterize some application problems where cities may have different accessibility for some but not necessarily all salesmen. This work proposes a colored traveling salesman problem (CTSP) in which a city has one to multiple colors allowing any salesman with the same color to visit. It presents a decomposition approach that converts CTSP into a combination of several individual traveling salesman problems (TSPs) and one MTSP for an important class of CTSP. To solve the transformed one, this work proposes a modified greedy algorithm allowing multi-colored city assignment during city search and adopts the formerly presented simulated annealing genetic algorithm. A dual-bridge waterjet cutting example is utilized to compare the presented decomposition approach and direct one. The results show that the former can achieve a better solution than the latter if the cities of same color(s) are clumped.

关键词： Cities and towns Color Traveling salesman problems Simulated annealing Genetic algorithms Greedy algorithms

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Author Correction: The power of genetic diversity in genome-wide association studies of lipids

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Nature 2023年第7965期618卷 E19-E20页

作者： Sarah E Graham Shoa L Clarke Kuan-Han H Wu Stavroula Kanoni Greg J M Zajac Shweta Ramdas Ida Surakka Ioanna Ntalla Sailaja Vedantam Thomas W Winkler Adam E Locke Eirini Marouli Mi Yeong Hwang Sohee Han Akira Narita Ananyo Choudhury Amy R Bentley Kenneth Ekoru Anurag Verma Bhavi Trivedi Hilary C Martin Karen A Hunt Qin Hui Derek Klarin Xiang Zhu Gudmar Thorleifsson Anna Helgadottir Daniel F Gudbjartsson Hilma Holm Isleifur Olafsson Masato Akiyama Saori Sakaue Chikashi Terao Masahiro Kanai Wei Zhou Ben M Brumpton Humaira Rasheed Sanni E Ruotsalainen Aki S Havulinna Yogasudha Veturi QiPing Feng Elisabeth A Rosenthal Todd Lingren Jennifer Allen Pacheco Sarah A Pendergrass Jeffrey Haessler Franco Giulianini Yuki Bradford Jason E Miller Archie Campbell Kuang Lin Iona Y Millwood George Hindy Asif Rasheed Jessica D Faul Wei Zhao David R Weir Constance Turman Hongyan Huang Mariaelisa Graff Anubha Mahajan Michael R Brown Weihua Zhang Ketian Yu Ellen M Schmidt Anita Pandit Stefan Gustafsson Xianyong Yin Jian'an Luan Jing-Hua Zhao Fumihiko Matsuda Hye-Mi Jang Kyungheon Yoon Carolina Medina-Gomez Achilleas Pitsillides Jouke Jan Hottenga Gonneke Willemsen Andrew R Wood Yingji Ji Zishan Gao Simon Haworth Ruth E Mitchell Jin Fang Chai Mette Aadahl Jie Yao Ani Manichaikul Helen R Warren Julia Ramirez Jette Bork-Jensen Line L Kårhus Anuj Goel Maria Sabater-Lleal Raymond Noordam Carlo Sidore Edoardo Fiorillo Aaron F McDaid Pedro Marques-Vidal Matthias Wielscher Stella Trompet Naveed Sattar Line T Møllehave Betina H Thuesen Matthias Munz Lingyao Zeng Jianfeng Huang Bin Yang Alaitz Poveda Azra Kurbasic Claudia Lamina Lukas Forer Markus Scholz Tessel E Galesloot Jonathan P Bradfield E Warwick Daw Joseph M Zmuda Jonathan S Mitchell Christian Fuchsberger Henry Christensen Jennifer A Brody Mary F Feitosa Mary K Wojczynski Michael Preuss Massimo Mangino Paraskevi Christofidou Niek Verweij Jan W Benjamins Jorgen Engmann Rachel L Kember Roderick C Slieker Ken Sin Lo Nuno R Zilhao Phuong Le Marcus E Kleber Graciela E Delgado Shaofeng Huo Dai Department of Internal Medicine Division of Cardiology University of Michigan Ann Arbor MI USA. VA Palo Alto Health Care System Palo Alto CA USA. Department of Medicine Division of Cardiovascular Medicine Stanford University School of Medicine Stanford CA USA. Department of Computational Medicine and Bioinformatics University of Michigan Ann Arbor MI USA. William Harvey Research Institute Barts and the London School of Medicine and Dentistry Queen Mary University of London London UK. Department of Biostatistics and Center for Statistics Genetics University of Michigan Ann Arbor MI USA. Department of Genetics Perelman School of Medicine University of Pennsylvania Philadelphia PA USA. Clinical Pharmacology William Harvey Research Institute Barts and The London School of Medicine and Dentistry Queen Mary University of London London UK. Endocrinology Boston Children's Hospital Boston MA USA. Medical and Population Genetics Broad Institute Cambridge MA USA. Department of Genetic Epidemiology University of Regensburg Regensburg Germany. McDonnell Genome Institute and Department of Medicine Washington University St Louis MO USA. Department of Precision Medicine Division of Genome Science National Institute of Health Cheongju-si South Korea. Tohoku Medical Megabank Organization Tohoku University Sendai Japan. Sydney Brenner Institute for Molecular Bioscience Faculty of Health Sciences University of the Witwatersrand Johannesburg South Africa. Center for Research on Genomics and Global Health National Human Genome Research Institute National Institutes of Health Bethesda MD USA. Blizard Institute Barts and the London School of Medicine and Dentistry Queen Mary University of London London UK. Wellcome Sanger Institute Hinxton UK. Department of Epidemiology Emory University Rollins School of Public Health Atlanta GA USA. Atlanta VA Health Care System Decatur GA USA. Malcolm Randall VA Medical Center Gainesville FL USA. Division of Vascular Sur

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Bat algorithm with oscillation element

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International Journal of Innovative Computing and Applications 2015年第3-4期6卷 171-180页

作者： Cai, Xingjuan Li, Wuzhao Kang, Qi Wang, Lei Wu, Qidi Department of Control Science and Engineering Tongji University Shanghai201804 China Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology 030024 China Shanghai Key Laboratory of Financial Information Technology Shanghai200433 China

Bat algorithm is a novel swarm intelligent algorithm inspired by the echolocation behaviour of bats. However, the exploration capability is not well for some multi-model problems. In this paper, the control theory is applied to analyse the exploration behaviour for each bat, theoretical result shows the update manner in the standard version of bat algorithm can be viewed as a special case of oscillation element. Therefore, a new variant of bat algorithm, called bat algorithm with oscillation element, is designed. Different from the standard version, frequency is set to negative in this new variant. Furthermore, a new parameter, inertia weight is employed to provide a balance between exploitation and exploration. To test the performance, the CEC2013 shifted and rotated benchmark problems are used to compare, simulation results show our method is validity. Copyright © 2015 Inderscience Enterprises Ltd.

关键词： Benchmarking

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