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2017 2nd International Conference on Artificial Intelligence: Techniques and Applications (AITA 2017)

作者： Shu-yan REN Yan-qing SONG Shi-gang CUI Li ZHAO Key Laboratory of Information Sensing & Intelligent Control Tianjin University of Science and Technology

Medical experiments by white LED in visible light communication had been done to explain influence on visual *** isolated RPE cells were cultured and light source illumination experiments with different illumination(lux),time and spectral range are *** ELISA,the intracellular transcription factors in each group were detected,which include MCP-1 and *** experiments,the illumination safety threshold of white light is 500 lux,and the illuminance safety threshold of blue light is 300 *** with illumination(lux),Spectral range is the main factor of affecting visual *** different spectral ranges,the magnitude of illumination and the duration of irradiation also affect visual function.

关键词： Visible light communication ELISA RPE Safety threshold

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Robust Disturbance-Rejection for a Class of Nonlinear Systems

Robust Disturbance-Rejection for a Class of Nonlinear System...

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第37届中国控制会议

作者： Pan Yu Kang-Zhi Liu Min Wu Jinhua She Department of Electrical and Electronic Engineering Chiba University Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Information Science and Engineering Central South University School of Automation China University of Geosciences School of Engineering Tokyo University of Technology

This paper presents a robust disturbance-rejection method for a system with a time-variant nonlinearity and a disturbance. The nonlinear dynamics which satisfies Lipschitz condition is unknown. The disturbance is also unknown but *** advantage of stable inversion, an improved EID(IEID) is utilized to deal with the total effect of the nonlinearity and disturbance. To reduce the conservativeness of system design, a feedback control gain is obtained in prior to the control gains of the observer and the IEID estimator. Then a Lyapunov functional considering the information of the nonlinearity is constructed and based on that, a linear-matrix-inequality(LMI)-based stability condition is derived to acquire the gains of the observer and the IEID estimator. Two tuning parameters are introduced in the LMI to enable the adjustment of disturbance-rejection performance. Finally, simulations for a flight control system show that the developed method has good robustness. Comparisons with disturbance-observer-based control(DOBC), composite DOBC and H control, and conventional EID-based control methods demonstrate the effectiveness of the developed method and its advantages over others.

关键词： Disturbance-rejection improved equivalent-input-disturbance（EID） linear matrix inequality（LMI） nonlinear system robustness

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Self-triggered control of heterogeneous multiagent systems with input saturation

Self-triggered control of heterogeneous multiagent systems w...

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Chinese control Conference (CCC)

作者： Shengli Du Di Wu Yongfeng Gao Xu Li Faculty of Information Technology Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing P. R. China School of Control Science and Engineering Dalian University of Technology Dalian P. R. China School of Aeronautics and Astronautics Dalian University of Technology Dalian P. R. China

This paper is concerned with the semi-global output synchronization problem of a heterogeneous network under self-triggered control. A distributed self-triggered control scheme in which only local information is used to compute the triggering instants is proposed. In addition, the Zeno behavior can be excluded in the designed scheme. By adopting the low-gain technique, it is shown that the input saturation nonlinearity can be avoided if the parameter of the parameterized feedback gain is chosen small enough. The algorithm for implementing the self-triggered rule is also presented in the paper.

关键词： Multi-agent systems Synchronization Eigenvalues and eigenfunctions control systems Laplace equations Symmetric matrices Riccati equations

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Task-space adaptive dynamic modularity control of free-floating space manipulators

Task-space adaptive dynamic modularity control of free-float...

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IEEE Annual Conference on Decision and control

作者： Hanlei Wang Long Cheng Yongchun Xie Science and Technology on Space Intelligent Control Laboratory Beijing Institute of Control Engineering Beijing China University of Chinese Academy of Sciences Tianjin Key Laboratory of Microgravity and Hypogravity Environment Simulation Technology Tianjin China

In this paper, we investigate the task-space adaptive control problem for free-floating space manipulators with uncertain kinematics and dynamics and with an unmodifiable inner joint control loop. The existence of an unmodifiable inner joint control loop makes most torque-based control algorithms in the literature inapplicable. We propose a dynamic modularity (DM) approach to resolve this problem, and this is hopeful for bridging the potential gap between the advanced control theory for (free-floating) space manipulators and practical engineering applications. Adaptive outer loop controllers are developed and shown to be able to guarantee the convergence of the task-space tracking errors. The performance of the proposed DM approach is shown by a numerical simulation.

关键词： Manipulator dynamics Aerospace electronics Kinematics space vehicles Jacobian matrices

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Direct measurement of the cosmic-ray carbon and oxygen spectra from 10 GeV/n to 2.2 TeV/n with the Calorimetric Electron Telescope on the International space Station

arXiv

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arXiv 2020年

作者： Adriani, O. Akaike, Y. Asano, K. Asaoka, Y. Bagliesi, M.G. Berti, E. Bigongiari, G. Binns, W.R. Bongi, M. Brogi, P. Bruno, A. Buckley, J.H. Cannady, N. Castellini, G. Checchia, C. Cherry, M.L. Collazuol, G. Ebisawa, K. Fuke, H. Gonzi, S. Guzik, T.G. Hams, T. 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. Kobayashi, K. Kohri, K. Krawczynski, H.S. Krizmanic, J.F. Link, J. Maestro, Paolo Marrocchesi, P.S. Messineo, A.M. Mitchell, J.W. Miyake, S. Moiseev, A.A. Mori, M. Mori, N. Motz, H.M. Munakata, K. Nakahira, S. Nishimura, J. de Nolfo, G.A. Okuno, S. Ormes, J.F. Ospina, N. Ozawa, S. Pacini, L. Palma, F. Papini, P. 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. Takita, M. Tamura, T. Terasawa, T. Torii, S. Tsunesada, Y. Uchihori, Y. Vannuccini, E. Wefel, J.P. Yamaoka, K. Yanagita, S. Yoshida, A. Yoshida, K. Department of Physics University of Florence Via Sansone 1 Sesto Fiorentino50019 Italy INFN Sezione di Florence Via Sansone 1 Sesto Fiorentino50019 Italy Waseda Research Institute for Science and Engineering Waseda University 17 Kikuicho Shinjuku Tokyo162-0044 Japan JEM Utilization Center Human Spaceflight Technology Directorate Japan Aerospace Exploration Agency 2-1-1 Sengen Tsukuba Ibaraki305-8505 Japan Institute for Cosmic Ray Research The University of Tokyo 5-1-5 Kashiwa-no-Ha Kashiwa Chiba277-8582 Japan Department of Physical Sciences Earth and Environment University of Siena via Roma 56 Siena53100 Italy INFN Sezione di Pisa Polo Fibonacci Largo B. Pontecorvo 3 Pisa56127 Italy Department of Physics McDonnell Center for the Space Sciences Washington University One Brookings Drive St. LouisMO63130-4899 United States Heliospheric Physics Laboratory NASA/GSFC GreenbeltMD20771 United States Center for Space Sciences and Technology University of Maryland Baltimore County 1000 Hilltop Circle BaltimoreMD21250 United States Astroparticle Physics Laboratory NASA/GSFC GreenbeltMD20771 United States Center for Research and Exploration in Space Sciences and Technology NASA/GSFC GreenbeltMD20771 United States Via Madonna del Piano 10 Sesto Fiorentino50019 Italy Department of Physics and Astronomy Louisiana State University 202 Nicholson Hall Baton RougeLA70803 United States Department of Physics and Astronomy University of Padova Via Marzolo 8 Padova35131 Italy INFN Sezione di Padova Via Marzolo 8 Padova35131 Italy Institute of Space and Astronautical Science Japan Aerospace Exploration Agency 3-1-1 Yoshinodai Chuo Sagamihara Kanagawa252-5210 Japan Kanagawa University 3-27-1 Rokkakubashi Kanagawa Yokohama Kanagawa221-8686 Japan Faculty of Science and Technology Graduate School of Science and Technology Hirosaki University 3 Bunkyo Hirosaki Aomori036-8561 Japan Yukawa Institute for Theoretical Physics Kyo

In this paper, we present the measurement of the energy spectra of carbon and oxygen in cosmic rays based on observations with the Calorimetric Electron Telescope (CALET) on the International space Station from October 2015 to October 2019. Analysis, including the detailed assessment of systematic uncertainties, and results are reported. The energy spectra are measured in kinetic energy per nucleon from 10 GeV/n to 2.2 TeV/n with an all-calorimetric instrument with a total thickness corresponding to 1.3 nuclear interaction length. The observed carbon and oxygen fluxes show a spectral index change of ∼0.15 around 200 GeV/n established with a significance > 3σ. They have the same energy dependence with a constant C/O flux ratio 0.911 ± 0.006 above 25 GeV/n. The spectral hardening is consistent with that measured by AMS-02, but the absolute normalization of the flux is about 27% lower, though in agreement with observations from previous experiments including the PAMELA spectrometer and the calorimetric balloon-borne experiment CREAM. Copyright © 2020, The Authors. All rights reserved.

关键词： Carbon

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The Smart Street Lighting System Based on NB-IoT

The Smart Street Lighting System Based on NB-IoT

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Chinese Automation Congress

作者： Shichao Chen Shuangshuang Han Gang Xiong Fei-Yue Wang Jia Xu Kun Wang Macau University of Science and Technology Chinese Academy of Sciences Macau China The Cloud Computing Center Chinese Academy of Sciences Dongguan China Beijing University of Chemical Technology Chinese Academy of Sciences Beijing China The State Key Laboratory for Management and Control of Complex Systems Chinese Academy of Sciences The Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing China Qingdao Academy of Intelligent Industries The State Key laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Qingdao China Beijing University of Chemical Technology Beijing China

With the development of communication technology, in order to meet the smart city's demand for intelligent infrastructure, the smart street lighting system based on NB-IoT is an effective method to realize the goal. This paper elaborates on the smart street lighting system's architecture, including the perception and control layer, the transport layer, the platform layer and the application layer. In addition, the actual system is built to verify. This system uses STM32 to build the perception and controller, and relies on China Telecom's NB-IoT communication network for the data transmission, finally using the IoT management platform-Huawei OceanConnect- to implement the connection management, the device management, the data calculation and the remote control functions. This system verifies the feasibility of the smart street lighting system based on NB-IoT technology, which provides the reference for the promotion and application. It is expected to provide intelligent, diversified, efficient and economical services for the smart cities.

关键词： Smart street lighting system NB-IoT IoT Smart city

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An FBG impact location system based on broadband light source and improved TDoA algorithm

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Optoelectronics Letters 2017年第4期13卷 254-258页

作者： PANG Dan-dan SUI Qing-mei WANG Ming GUO Dong-mei SAI Yao-zhang Shandong Provincial Key Laboratory of Intelligent Buildings Technology School of Information and Electrical Engineering Shandong Jianzhu University Jinan 250101 China School of Control Science and Engineering Shandong University Jinan 250061 China School of Traffic Engineering Shandong Jianzhu University Jinan 250101 China

When a structure material is damaged by impact events, the reliability and lifetime of the material will be severely af- fected. So impact location is considered as the prime approach for structural health and damage monitoring. In this study, a novel fiber Bragg grating （FBG） impact location system based on broadband light source is designed, aiming at the shortcoming of existing location systems based on FBG. An improved localization algorithm based on the time difference of arrival （TDoA） is proposed for impact location. According to this algorithm, the impact position can be accurately predicted without wave velocity. Impact planar location experiments are carried out for verification of the FBG impact location system and algorithm on a 400 mmx400 mmx3 mm aluminum alloy plate. The resulted locating error shows high precision and good stability of the proposed system.

关键词： Aluminum alloys Fiber Bragg gratings Light sources Structural analysis Structural health monitoring Time difference of arrival Wave propagation

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Region stability analysis and tracking control of memristive recurrent neural network

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Neural networks : the official journal of the International Neural Network Society 2018年 98卷 51-58页

作者： Gang Bao Zhigang Zeng Yanjun Shen Hubei Key Laboratory of Cascaded Hydropower Stations Operation & Control Electrical Engineering & New Energy China Three Gorges University Yichang 443002 China. Electronic address: ctgugangbao@***. China School of Automation Huazhong University of Science and Technology Wuhan Hubei 430074 China Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China Wuhan 430074 China. Electronic address: zgzeng@***. Hubei Key Laboratory of Cascaded Hydropower Stations Operation & Control Electrical Engineering & New Energy China Three Gorges University Yichang 443002 China. Electronic address: shenyj@***.

Memristor is firstly postulated by Leon Chua and realized by Hewlett-Packard (HP) laboratory. Research results show that memristor can be used to simulate the synapses of neurons. This paper presents a class of recurrent neural network with HP memristors. Firstly, it shows that memristive recurrent neural network has more compound dynamics than the traditional recurrent neural network by simulations. Then it derives that n dimensional memristive recurrent neural network is composed of [Formula: see text] sub neural networks which do not have a common equilibrium point. By designing the tracking controller, it can make memristive neural network being convergent to the desired sub neural network. At last, two numerical examples are given to verify the validity of our result.

关键词： Memristive neural network Memristor Stability

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Distance-based separability criterion of ROI in classification of farmland hyper-spectral images

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International Journal of Agricultural and Biological Engineering 2017年第5期10卷 177-185页

作者： Tang Jinglei Miao Ronghui Zhang Zhiyong Xin Jing Wang Dong College of Information Engineering Northwest A&F UniversityYangling 712100ShaanxiChina Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi’an University of TechnologyXi’an 710048China College of Information Science and Engineering Shanxi Agricultural UniversityTaigu 030801ShanxiChina

The hyper-spectral image contains spectral and spatial information,which increases the ability and precision of objects *** the classification value of hyper-spectral imaging technology within various applications,users often find it difficult to effectively apply in practice because of the effect of light,temperature and wind in outdoor *** research presented a new classification model for outdoor farmland objects based on near-infrared(NIR)hyper-spectral *** involves two steps including region of interest(ROI)acquisition and establishment of classifiers.A distance-based method for quantitative analysis was proposed to optimize the reference pixels in ROI acquisition *** maximum likelihood(ML)and support vector machine(SVM)were used for farmland objects *** performance of the proposed method showed that the total classification accuracy based on the reference pixels was over 97.5%,of which the SVM-M model could reach 99.5%.The research provided an effective method for outdoor farmland image classification.

关键词： distance-based separability criterion near-infrared hyper-spectral image ROI farmland image classification

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Ready for O4 II: GRANDMA Observations of Swift GRBs during eight-weeks of Spring 2022

arXiv

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arXiv 2023年

作者： Tosta e Melo, I. Ducoin, J.-G. Vidadi, Z. Andrade, C. Rupchandani, V. Agayeva, S. Abdelhadi, J. Abe, L. Aguerre-Chariol, O. Aivazyan, V. Alishov, S. Antier, S. Bai, J.-M. Baransky, A. Bednarz, S. Bendjoya, Ph. Benkhaldoun, Z. Beradze, S. Bizouard, M.A. Bhardwaj, U. Blazek, M. Boër, M. Broens, E. Burkhonov, O. Christensen, N. Cooke, J. Corradi, W. Coughlin, M.W. Culino, T. Daigne, F. Dornic, D. Duverne, P.-A. Ehgamberdiev, S. Eymar, L. Fouad, A. Freeberg, M. Gendre, B. Guo, F. Gokuldass, P. Guessoum, N. Gurbanov, E. Hainich, R. Hasanov, E. Hello, P. Inasaridze, R. Iskandar, A. Ismailov, N. Janati, A. Jegou du Laz, T. Kann, D.A. Karpov, S. Kiendrebeogo, R.W. Klotz, A. Kneip, R. Kochiashvili, N. Kaeouach, A. Kruiswijk, K. Lamoureux, M. Leroy, N. Lin, W.L. Mao, J. Marchais, D. Mašek, M. Midavaine, T. Moller, A. Morris, D. Natsvlishvili, R. Navarete, F. Nicuesa Guelbenzu, A. Noonan, K. Noysena, K. Oksanen, A. Orange, N.B. Pellouin, C. Peloton, J. Peng, H.W. Pilloix, M. Popowicz, A. Pradier, T. Pyshna, O. Raaijmakers, G. Rajabov, Y. Rau, A. Rinner, C. Rivet, J.-P. Ryh, A.S. Sabil, M. Sadibekova, T. Sasaki, N. Serrau, M. Simon, A. Shokry, Ahmed Smith, K. Sokoliuk, O. Song, X. Takey, A. Thierry, P. Tillayev, Y. Turpin, D. de Ugarte Postigo, A. Vasylenko, V. Vernet, D. Wang, L. Vachier, F. Vignes, J.P. Wang, X.F. Zeng, X. Zhang, J. Zhu, Y. Department of Physics and Astronomy University of Catania Catania95125 Italy Sorbonne Université CNRS UMR 7095 Institut d'Astrophysique de Paris 98 bis bd Arago Paris75014 France N.Tusi Shamakhy Astrophysical Observatory Azerbaijan National Academy of Sciences settl.Y. Mammadaliyev ShamakhyAZ 5626 Azerbaijan School of Physics and Astronomy University of Minnesota MinneapolisMN55455 United States Brown University RI ProvidenceRI02912 United States Oukaimeden Observatory High Energy Physics and Astrophysics Laboratory FSSM Cadi Ayyad University Av. Prince My Abdellah MarrakeshBP 2390 Morocco Université Côte d'Azur Observatoire de la Côte d'Azur CNRS Laboratoire J.-L. Lagrange Boulevard de l'Observatoire Nice06304 France 14 rue Saint-Hubert Orry-la-VilleF-60560 France E. Kharadze Georgian National Astrophysical Observatory Mt.Kanobili Abastumani Adigeni0301 Georgia Samtskhe-Javakheti State University Rustaveli Str. 113 Akhaltsikhe0080 Georgia N.Tusi Shamakhy astrophysical Observatory Azerbaijan National Academy of Sciences settl.Mamedaliyev ShamakhyAZ 5626 Azerbaijan Université Côte d'Azur Observatoire de la Côte d'Azur CNRS Artemis Boulevard de l'Observatoire Nice06304 France Astronomical Observatory Taras Shevshenko National University of Kyiv Observatorna str. 3 Kyiv04053 Ukraine Silesian University of Technology Faculty of Automatic Control Electronics and Computer Science Akademicka 16 Gliwice44-100 Poland GRAPPA Anton Pannekoek Institute for Astronomy Institute of High-Energy Physics University of Amsterdam Science Park 904 Amsterdam1098 XH Netherlands FZU - Institute of Physics The Czech Academy of Sciences Na Slovance 1999/2 PrahaCZ-182 21 Czech Republic Vereniging or Sterrenkunde Balen-Neetlaan 18A Mol2400 Belgium Ulugh Beg Astronomical Institute Uzbekistan Academy of Sciences Astronomy str. 33 Tashkent100052 Uzbekistan Centre for Astrophysics and Supercomputing Swinburne University of Technology HawthornVIC3122

Aims. We present a campaign designed to train the GRANDMA network and its infrastructure to follow up on transient alerts and detect their early afterglows. In preparation for O4 II campaign, we focused on GRB alerts as they are expected to be an electromagnetic counterpart of gravitational-wave events. Our goal was to improve our response to the alerts and start prompt observations as soon as possible to better prepare the GRANDMA network for the fourth observational run of LIGO-Virgo-Kagra (which started at the end of May 2023), and future missions such as SM. Methods. To receive, manage and send out observational plans to our partner telescopes we set up dedicated infrastructure and a rota of follow-up adcates were organized to guarantee round-the-clock assistance to our telescope teams. To ensure a great number of observations, we focused on Swift GRBs whose localization errors were generally smaller than the GRANDMA telescopes' field of view. This allowed us to bypass the transient identification process and focus on the reaction time and efficiency of the network. Results. During'Ready for O4 II', 11 Swift/INTEGRAL GRB triggers were selected, nine fields had been observed, and three afterglows were detected (GRB 220403B, GRB 220427A, GRB 220514A), with 17 GRANDMA telescopes and 17 amateur astronomers from the citizen science project Kilonova-Catcher. Here we highlight the GRB 220427A analysis where our long-term follow-up of the host galaxy allowed us to obtain a photometric redshift of z = 0.82 ± 0.09, its lightcurve elution, fit the decay slope of the afterglows, and study the properties of the host galaxy. Conclusions. During this 8-week-long GRB follow-up campaign, we successfully fulfilled our goal of training telescope teams for O4 and the improvement of the associated technical toolkits. For seven of the GRB alerts, our network was able to start the first observations less than one hour after the GRB trigger time. We also characterized the network effic

关键词： Telescopes

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