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arXiv 2018年

作者： Wang, Chen Xia, Weiguo Sun, Jinan Fan, Ruifeng Xie, Guangming State Key Laboratory of Turbulence and Complex Systems Intelligent Biomimetic Design Lab College of Engineering Peking University Beijing100871 China School of Control Science and Engineering Dalian University of Technology Dalian116024 China National Engineering Research Center for Software Engineering Peking University Beijing100871 China

We study the general formation problem for a group of mobile agents in a plane, in which the agents are required to maintain a distribution pattern, as well as to rotate around or remain static relative to a static/moving target. The prescribed distribution pattern is a class of general formations that the distances between neighboring agents or the distances from each agent to the target do not need to be equal. Each agent is modeled as a double integrator and can merely perceive the relative information of the target and its neighbors. A distributed control law is designed using the limit-cycle based idea to solve the problem. One merit of the controller is that it can be implemented by each agent in its Frenet-Serret frame so that only local information is utilized without knowing global information. Theoretical analysis is provided of the equilibrium of the N-agent system and of the convergence of its converging part. Numerical simulations are given to show the effectiveness and performance of the proposed controller. Copyright © 2018, The Authors. All rights reserved.

关键词： Mobile agents

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Vehicle re-identification by fusing multiple deep neural networks

Vehicle re-identification by fusing multiple deep neural net...

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Workshops on Image Processing Theory, Tools and Applications, IPTA

作者： Chao Cui Nong Sang Changxin Gao Lei Zou Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Huazhong University of Science and Technology Wuhan China

Vehicle re-identification has become a fundamental task because of the growing explosion in the use of surveillance cameras in public security. The most widely used solution is based on license plate verification. But when facing the vehicle without a license, deck cars and other license plate information error or missing situation, vehicle searching is still a challenging problem. This paper proposed a vehicle re-identification method based on deep learning which exploit a two-branch Multi-DNN Fusion Siamese Neural Network (MFSNN) to fuses the classification outputs of color, model and pasted marks on the windshield and map them into a Euclidean space where distance can be directly used to measure the similarity of arbitrary two vehicles. In order to achieve this goal, we present a method of vehicle color identification based on Alex net, a method of vehicle model identification based on VGG net, a method of pasted marks detection and identification based on Faster R-CNN. We evaluate our MFSNN method on VehicleID dataset and in the experiment. Experiment results show that our method can achieve promising results.

关键词： Image color analysis Feature extraction Neural networks Task analysis Licenses Automobiles Automotive components

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Optimal tracking cooperative control for multi-agent systems with periodic sampling via robust model predictive control approach 36

Optimal tracking cooperative control for multi-agent systems...

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第36届中国控制会议

作者： Bohui Wang Weisheng Chen Jingcheng Wang Bin Zhang Zhengqiang Zhang Hai Lin Bin Ma the School of Aerospace Science and Technology Xidian University the Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China the Autonomous Systems and Intelligent Control international Joint Research Center Xian Technological University the Department of Electrical Engineering University of South Carolina the with the School of Engineering Qufu Normal University

ISBN: (纸本)9781538629185

This paper addresses the optimized tracking cooperative control problem for multi-agent systems with periodic sampling and directed communication topology via robust model predictive control *** proposed optimized tracking cooperative control strategy relaxes the assumptions in existing works that the control gain and the local input must be continuous and the states information exchange has no recourse *** the conditions of the optimized consensus and the communication cost being satisfied,the tracking cooperative control law with bounded parameters is developed based on the periodic *** shows that if the sampling condition is satisfied,the multi-agent systems will reach the optimized *** results are provided to verify the proposed approach.

关键词： Index Terms-multi-agent systems tracking cooperative control periodic sampling optimized consensus robust model predictive control

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Energy Storage Sizing Taking into Account Forecast Uncertainties in Distributed Energy Management System

Energy Storage Sizing Taking into Account Forecast Uncertain...

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2017 9th International Conference on Modelling, Identification and control (ICMIC 2017)

作者： Yue Li Xiaoyu Tang Shuzheng Wang Qinmin Yang the Collaborative Innovation Center for Intelligent Technology and Equipment in Distribution Network the State Key Laboratory of Industrial Control Technology College of Control Science and EngineeringZhejiang University

The rapid development of eco-friendly technologies such as energy storage system（ESS） and smart grid will shape the power consumption pattern in the *** paper proposes an analytical method to determine the battery capacity of ESS based on economic analysis,optimal scheduling strategy and forecast uncertainties in distributed energy management system（DEMS）.Firstly,an improved support vector regression（SVR） model is developed to raise the accuracy of load ***,an effective algorithm combining ergodic theory and two-stage optimization is presented to divide the battery of ESS into schedule-based capacity and emergency capacity for different *** historical load and forecast uncertainties are taken into consideration in determining the *** mixed integer linear programming（MILP） models considering the reliability constraints and peak-shaving requirement are utilized to describe the process in each *** simulations show the effectiveness of the scheme.

关键词： Energy storage system optimal sizing support vector regression two-stage optimization mixed integer linear programming

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A case-based reasoning approach for task-driven spatial-temporally aware geospatial data discovery through geoportals

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International Journal of Digital Earth 2017年第11期10卷 1146-1165页

作者： Ming Li Wei Guo Lian Duan Xinyan Zhu Institute of Space Science and Technology Nanchang UniversityNanchangPeople’s Republic of China State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhanPeople’s Republic of China Collaborative Innovation Center of Geospatial Technology WuhanPeople’s Republic of China Key Laboratory of Environment Change and Resources Use in Beibu Gulf(Guangxi Teachers Education University) Ministry of EducationGuangxiPeople’s Republic of China Guangxi Key Laboratory of Earth Surface Processes and Intelligent Simulation(Guangxi Teachers Education University) GuangxiPeople’s Republic of China

There is a critical need to develop a means for fast,task-driven discovery of geospatial data found in *** geoportals,however,only provide metadata-based means for discovery,with little support for task-driven discovery,especially when considering spatial–temporal *** address this gap,this paper presents a Case-Based Reasoning-supported Geospatial Data Discovery(CBR-GDD)method and implementation that accesses geospatial data by *** advantages of the CBR-GDD approach is that it builds an analogue reasoning process that provides an internal mechanism bridging tasks and geospatial data with spatial–temporal awareness,thus providing solutions based on past *** CBR-GDD approach includes a set of algorithms that were successfully implemented via three components as an extension of geoportals:ontology-enhanced knowledge base,similarity assessment model,and case retrieval nets.A set of experiments and case studies validate the CBR-GDD approach and application,and demonstrate its efficiency.

关键词： Case-based reasoning geospatial data discovery ontology geoportals spatial–temporal awareness

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On active decoupling control for horizontal-lateral direction of hypersonic flight based on HIFOO 21

On active decoupling control for horizontal-lateral directio...

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21st AIAA International space Planes and Hypersonics Technologies Conference, Hypersonics 2017

作者： Ma, Shunjian Zhu, Kai Sun, Mingwei Wang, Zenghui Chen, Zengqiang Dept. of Automation and Intelligent Science Nankai University College of Computer and Control Engineering Tianjin300350 China Beijing Aerospace Technology Institute Tianjin Key Laboratory of Intelligent Robotics Tianjin300350 China Beijing Aerospace Technology Institute Beijing100074 China Department of Electrical and Mining Engineering University of South Africa FL1710 South Africa

ISBN: (数字)9781624104633

ISBN: (纸本)9781624104633

Nowadays, hypersonic flight vehicles are widely studied. Since their high nonlinearity, strong coupling and uncertain factors, the conventional three-channel independent control design method is often unable to work well. In this paper, an active disturbance rejection controller (ADRC) is utilized to cancel internal uncertainties and exogenous disturbances for longitudinal dynamics. Then, the MIMO robust controller is obtained by choosing proper sensitivity functions and weighting functions to reduce horizontal-lateral direction coupling. The conventional H robust controllor is high-order, which is difficult for practitioners to implement. With frequency transformation, both ADRC for the longitudinal dynamics and MIMO robust controller for the horizontal-lateral dynamics are reformed into the static output feedback structure to reduce the high order of controller. Finally, all parameters in the controllers can be optimized by HIFOO (H-Infinity Fixed Order Optimization). The Winged-Cone, a 6-freedom NASA hypersonic vehicle model, is used as a benchmark, and Monte Carlo simulations demonstrate the effectiveness of the proposed method. © 2017, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： controllers

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Synchronization of Switched Neural Networks with Communication Delays via the Event-Triggered control

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IEEE Transactions on Neural Networks and Learning Systems 2017年第10期28卷 2334-2343页

作者： Wen, Shiping Zeng, Zhigang Chen, Michael Z. Q. Huang, Tingwen Guangdong Province Key Lab of Digital Manufacturing Equipment Key Laboratory of Image Processing Intelligent Control of Education Ministry of China School of Automation Guangdong HUST Industrial Technology Research Institute Huazhong University of Science Technology Wuhan Hubei430074 China Department of Mechanical Engineering University of Hong Kong Hong Kong Hong Kong Texas A M University at Qatar DohaTX5825 United States

This paper addresses the issue of synchronization of switched delayed neural networks with communication delays via event-triggered control. For synchronizing coupled switched neural networks, we propose a novel event-triggered control law which could greatly reduce the number of control updates for synchronization tasks of coupled switched neural networks involving embedded microprocessors with limited on-board resources. The control signals are driven by properly defined events, which depend on the measurement errors and current-sampled states. By using a delay system method, a novel model of synchronization error system with delays is proposed with the communication delays and event-triggered control in the unified framework for coupled switched neural networks. The criteria are derived for the event-triggered synchronization analysis and control synthesis of switched neural networks via the Lyapunov-Krasovskii functional method and free weighting matrix approach. A numerical example is elaborated on to illustrate the effectiveness of the derived results. © 2012 IEEE.

关键词： Synchronization

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Optimizing the Taxonomy and Hierarchy of a Chinese Lexical Database - Cilin

Optimizing the Taxonomy and Hierarchy of a Chinese Lexical D...

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International Conference on Behavior, Economic and Social Computing (BESC)

作者： Tingxin Wei Xiaohe Chen Shi Shengwang Junsheng Zhou Yanhui Gu Weiguang Qu International College for Chinese Studies Nanjing Normal University Nanjing China School of Chinese Language and Literature Nanjing Normal University Nanjing China School of Computer Science and Technology Nanjing Normal University Nanjing China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou China

ISBN: (纸本)9781728102085;9781728102078

Cilin is one of the most popular semantic knowledge bases in Chinese information processing. Due to its coding scheme and taxonomical arrangement, some semantic relations among words are not explicitly shown. Our work aims to characterize its semantic relations by adding tags and compound codes to optimize the taxonomy and hierarchy of Cilin. Experiment results show that using the tag-augmented Cilin as a knowledge base improves the performance in the task of semantic similarity measurement.

关键词： Semantics Compounds Taxonomy Encoding Knowledge based systems Wheels Task analysis

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Corrigendum to ‘Changes of water clarity in large lakes and reservoirs across China observed from long-term MODIS’ [Remote Sensing of Environment 247 (2020)]

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Remote Sensing of Environment 2020年 248卷

作者： Shenglei Wang Junsheng Li Bing Zhang Zhongping Lee Evangelos Spyrakos Lian Feng Chong Liu Hongli Zhao Yanhong Wu Liping Zhu Liming Jia Wei Wan Fangfang Zhang Qian Shen Andrew N. Tyler Xianfeng Zhang School of Earth and Space Sciences Peking University Beijing China Key Laboratory of Digital Earth Science Aerospace Information Research Institute Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China School for the Environment University of Massachusetts Boston Boston MA USA Biological and Environmental Sciences Faculty of Natural Sciences University of Stirling Stirling UK State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control School of Environmental Science and Engineering Southern University of Science and Technology Shenzhen China Key Laboratory of Tibetan Environment Changes and Land Surface Processes Institute of Tibetan Plateau Research Chinese Academy of Sciences Beijing China China Institute of Water Resources and Hydropower Research Beijing China Environmental Monitoring Central Station of Heilongjiang Province Harbin China

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The CALorimetric Electron Telescope (CALET) on the international space station: Results from the first two years on orbit

arXiv

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arXiv 2019年

作者： Asaoka, Y. Adriani, O. Akaike, Y. Asano, K. Bagliesi, M.G. Berti, E. Bigongiari, G. Binns, W.R. Bonechi, S. Bongi, M. Bruno, A. Brogi, P. Buckley, J.H. Cannady, N. Castellini, G. Checchia, C. Cherry, M.L. Collazuol, G. Di Felice, V. Ebisawa, K. Fuke, H. Guzik, T.G. Hams, T. Hasebe, N. Hibino, K. Ichimura, M. Ioka, K. Ishizaki, W. Israel, M.H. Kasahara, K. Kataoka, J. Kataoka, R. Katayose, Y. Kato, C. Kawanaka, N. Kawakubo, Y. Kohri, K. Krawczynski, H.S. Krizmanic, J.F. Lomtadze, T. Maestro, P. Marrocchesi, P.S. Messineo, A.M. Mitchell, J.W. Miyake, S. Moiseev, A.A. Mori, K. Mori, M. Mori, N. Motz, H.M. Munakata, K. Murakami, H. Nakahira, S. Nishimura, J. de Nolfo, G.A. Okuno, S. Ormes, J.F. Ozawa, S. Pacini, L. Palma, F. Pal'shin, V. Papini, P. Penacchioni, A.V. Rauch, B.F. Ricciarini, S.B. Sakai, K. Sakamoto, T. Sasaki, M. Shimizu, Y. Shiomi, A. Sparvoli, R. Spillantini, P. Stolzi, F. Sugita, S. Suh, J.E. Sulaj, A. Takahashi, I. Takayanagi, M. Takita, M. Tamura, T. Tateyama, N. Terasawa, T. Tomida, H. Torii, S. Tsunesada, Y. Uchihori, Y. Ueno, S. Vannuccini, E. Wefel, J.P. Yamaoka, K. Yanagita, S. Yoshida, A. Yoshida, K. Waseda Research Institute for Science and Engineering Waseda University Japan JEM Utilization Center Human Spaceflight Technology Directorate Japan Aerospace Exploration Agency Japan Department of Physics University of Florence Italy INFN Sezione di Florence Italy Department of Physics University of Maryland United States Astroparticle Physics Laboratory NASA/GSFC United States Institute for Cosmic Ray Research University of Tokyo Japan Department of Physical Sciences Earth and Environment University of Siena Italy INFN Sezione di Pisa Italy Department of Physics Washington University United States Heliospheric Physics Laboratory NASA GSFC United States Department of Physics and Astronomy Louisiana State University United States Italy Department of Physics and Astronomy University of Padova Italy INFN Sezione di Padova Italy University of Rome "Tor Vergata" Italy INFN Sezione di Rome "Tor Vergata" Italy Institute of Space and Astronautical Science Japan Aerospace Exploration Agency Japan CRESST and Astroparticle Physics Laboratory NASA GSFC United States Kanagawa University Japan Faculty of Science and Technology Graduate School of Science and Technology Hirosaki University Japan Yukawa Institute for Theoretical Physics Kyoto University Japan National Institute of Polar Research Japan Faculty of Engineering Division of Intelligent Systems Engineering Yokohama National University Japan Faculty of Science Shinshu University Japan Hakubi Center Kyoto University Japan Department of Astronomy Graduate School of Science Kyoto University Japan College of Science and Engineering Department of Physics and Mathematics Aoyama Gakuin University Japan High Energy Accelerator Research Organization Japan University of Pisa Italy Department of Electrical and Electronic Systems Engineering National Institute of Technology Ibaraki College Japan Department of Astronomy University of Maryland College ParkMD20742 United States Department of Physical Sciences College o

The CALorimetric Electron Telescope (CALET) is a high-energy astroparticle physics space experiment installed on the International space Station (ISS), developed and operated by Japan in collaboration with Italy and the United States. The CALET mission goals include the investigation of possible nearby sources of high-energy electrons, of the details of galactic particle acceleration and propagation, and of potential signatures of dark matter. CALET measures the cosmic-ray electron+positron flux up to 20 TeV, gamma-rays up to 10 TeV, and nuclei with Z=1 to 40 up to 1,000 TeV for the more abundant elements during a long-term observation aboard the ISS. Starting science operation in mid-October 2015, CALET performed continuous observation without major interruption with close to 20 million triggered events over 10 GeV per month. Based on the data taken during the first two-years, we present an overview of CALET observations: 1) Electron+positron energy spectrum, 2) Nuclei analysis, 3) Gamma-ray observation including a characterization of on-orbit performance. Results of the electromagnetic counterpart search for LIGO/Virgo gravitational wave events are discussed as well. Copyright © 2019, The Authors. All rights reserved.

关键词： Electrons

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