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arXiv 2017年

作者： Wu, Mincheng He, Shibo Zhang, Yongtao Chen, Jiming Sun, Youxian Liu, Yang-Yu Zhang, Junshan Vincent Poor, H. State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou Zhejiang310027 China Channing Division of Network Medicine Brigham and Women's Hospital Harvard Medical School BostonMA02115 United States Center for Cancer Systems Biology Dana-Farber Cancer Institute BostonMA02115 United States School of Electrical Computer and Energy Engineering Arizona State University TempeAZ85287 United States Department of Electrical Engineering Princeton University PrincetonNJ08544 United States

Centrality is widely recognized as one of the most critical measures to provide insight in the structure and function of complex networks. While various centrality measures have been proposed for single-layer networks, a general framework for studying centrality in multilayer networks (i.e., multicentrality) is still lacking. In this study, a tensor-based framework is introduced to study eigenvector multicentrality, which enables the quantification of the impact of interlayer influence on multicentrality, providing a systematic way to describe how multicentrality propagates across different layers. This framework can leverage prior knowledge about the interplay among layers to better characterize multicentrality for varying scenarios. Two interesting cases are presented to illustrate how to model multilayer influence by choosing appropriate functions of interlayer influence and design algorithms to calculate eigenvector multicentrality. This framework is applied to analyze several empirical multilayer networks, and the results corroborate that it can quantify the influence among layers and multicentrality of nodes effectively. Copyright © 2017, The Authors. All rights reserved.

关键词： Eigenvalues and eigenfunctions

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Output stabilization for a class of nonlinear systems via high-gain observer with limited gain power

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IFAC-PapersOnLine 2015年第11 11期48卷 730-735页

作者： Wang, Lei Astolfi, Daniele Su, Hongye Marconi, Lorenzo Isidori, Alberto State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou China CASY -DEI University of Bologna Italy MINES ParisTech PSL Research University CAS Paris France Department of Computer Control and Management Engineering University of Rome "La Sapienza" Rome Italy

We address the problem of output stabilization for the class of nonlinear minimumphase systems with a well-defined relative degree whose output is affected by measurement noise. In the proposed control structure the derivatives of the output are estimated by means of a new high-gain observer proposed in Astolfi and Marconi [2015], which, with respect to high-gain observers conventionally used in literature, has limited gain power. The advantage in using the proposed observer is in its implementation for systems with high relative degree and in the sensitivity to the sensor noise. Simulation results are presented to show the effectiveness of the proposed control structure. © 2015

关键词： Nonlinear systems Stabilization control structure High gain observers Measurement Noise Minimum phase systems Normal form Output stabilization Relative degrees Sensor noise

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Radiative Cooling of the Thermally Isolated System in KAGRA Gravitational Wave Telescope

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Journal of Physics: Conference Series 2021年第1期1857卷

作者： T. Akutsu M. Ando K. Arai Y. Arai S. Araki A. Araya N. Aritomi Y. Aso S.-W. Bae Y.-B. Bae L. Baiotti R. Bajpai M. A. Barton K. Cannon E. Capocasa M.-L. Chan C.-S. Chen K.-H. Chen Y.-R. Chen H.-Y. Chu Y.-K. Chu S. Eguchi Y. Enomoto R. Flaminio Y. Fujii M. Fukunaga M. Fukushima G.-G. Ge A. Hagiwara S. Haino K. Hasegawa H. Hayakawa K. Hayama Y. Himemoto Y. Hiranuma N. Hirata E. Hirose Z. Hong B.-H. Hsieh G.-Z. Huang P.-W. Huang Y.-J. Huang B. Ikenoue S. Imam K. Inayoshi Y. Inoue K. Ioka Y. Itoh K. Izumi K. Jung P. Jung T. Kajita M. Kamiizumi N. Kanda G.-W. Kang K. Kawaguchi N. Kawai T. Kawasaki C. Kim J. Kim W. Kim Y.-M. Kim N. Kimura N. Kita H. Kitazawa Y. Kojima K. Kokeyama K. Komori A. K. H. Kong K. Kotake C. Kozakai R. Kozu R. Kumar J. Kume C.-M. Kuo H.-S. Kuo S. Kuroyanagi K. Kusayanagi K. Kwak H.-K. Lee H.-W. Lee R.-K. Lee M. Leonardi C.-Y. Lin F.-L. Lin L. C.-C. Lin G.-C. Liu L.-W. Luo M. Marchio Y. Michimura N. Mio O. Miyakawa A. Miyamoto Y. Miyazaki K. Miyo S. Miyoki S. Morisaki Y. Moriwaki K. Nagano S. Nagano K. Nakamura H. Nakano M. Nakano R. Nakashima T. Narikawa R. Negishi W.-T. Ni A. Nishizawa Y. Obuchi W. Ogaki J. J. Oh S.-H. Oh M. Ohashi N. Ohishi M. Ohkawa K. Okutomi K. Oohara C.-P. Ooi S. Oshino K.-C. Pan H.-F. Pang J. Park F. E. Peiia Arellano I. Pinto N. Sago S. Saito Y. Saito K. Sakai Y. Sakai Y. Sakuno S. Sato T. Sato T. Sawada T. Sekiguchi Y. Sekiguchi S. Shibagaki R. Shimizu T. Shimoda K. Shimode H. Shinkai T. Shishido A. Shoda K. Somiya E. J. Son H. Sotani R. Sugimoto T. Suzuki H. Tagoshi H. Takahashi R. Takahashi A. Takamori S. Takano H. Takeda M. Takeda H. Tanaka K. Tanaka T. Tanaka S. Tanioka E. N. Tapia San Martin S. Telada T. Tomaru Y. Tomigami T. Tomura F. Travasso L. Trozzo T. T. L. Tsang K. Tsubono S. Tsuchida T. Tsuzuki D. Tuyenbayev N. Uchikata T. Uchiyama A. Ueda T. Uehara K. Ueno G. Ueshima F. Uraguchi T. Ushiba M. H. P. M. van Putten H. Vocca J. Wang C.-M. Wu H.-C. Wu S.-R. Wu W.-R. Xu T. Yamada K. Yamamoto T. Yamamoto K. Yokogawa J. Yokoyama T. Yokozawa T. Yoshioka H. Yuzurihar National Astronomical Observatory of Japan (NAOJ) 2-21-1 Osawa Mitaka-City Tokyo 181-8588 Japan Research Center for the Early Universe (RESCEU) The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-0033 Japan Department of Physics The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-0033 Japan Institute for Cosmic Ray Research (ICRR) The University of Tokyo 5-1-5 Kashiwa-no-Ha Kashiwa-City Chiba 277-8582Japan Accelerator Laboratory High Energy Accelerator Research Organization (KEK) 1-1 OhoTsukuba-City Ibaraki 305-0801 Japan Earthquake Research Institute The University of Tokyo 1-1-1Yayoi Bunkyo-ku Tokyo 113-0032Japan Kamioka Branch National Astronomical Observatory of Japan (NAOJ) 238 Higashi-Mozumi Kamioka-cho Hida-City Gifu Pref. Japan The Graduate University for Advanced Studies (SOKENDAI) 2-21-1 Osawa Mitaka-City Tokyo 181-8588 Japan Korea Institute of Science and Technology Information (KISTI) 245 Daehak-ro Yuseong-gu Daejeon 34141 South Korea National Institute for Mathematical Sciences 70 Yuseong-daero 1689 beon-gil Yuseong-gu Daejeon 34047 South Korea Graduate School of Science Osaka University 1-1 Machikaneyama-cho Toyonaka-City Osaka560-0043 Japan School of High Energy Accelerator Science The Graduate University for Advanced Studies (SOKENDAI) 1-1 Oho Tsukuba-City Ibaraki 305-0801 Japan Institute for Gravitational Research University of Glasgow Kelvin Building G12 8QQ UK Department of Applied Physics Fukuoka University Fukuoka Jonan Nanakuma 814-0180 Japan Department of Physics Tamkang university No.151 Yingzhuan Rd. Danshui Dist. New Taipei-City 25137 Taiwan Department of Physics the Center for High Energy and High Field Physics National Central University No. 300 Zhongda Road Zhongyi District Taiyuan-City 320 Taiwan Institute of Astronomy National Tsing Hua University No. 101 Section 2 Kuang-Fu Road Hsinchu 30013 Taiwan Department of Physics National Tsing Hua University No. 101 Section 2

Radiative cooling of the thermally isolated system is investigated in KAGRA gravitational wave telescope. KAGRA is a laser interferometer-based detector and main mirrors constituting optical cavities are cool down to 20K to reduce noises caused by the thermal fluctuation. The mirror is suspended with the multi-stage pendulum to isolate any vibration. Therefore, this mirror suspension system has few heat links to reduce vibration injection. Thus, this system is mainly cooled down with thermal radiation. In order to understand the process of radiative cooling of the mirror, we analyzed cooling curve based on mass and specific heat. As a result, it was newly found that a cryogenic part called 'cryogenic duct-shield' seems to have large contribution in the beginning of the mirror cooling. This finding will help to design new cooling system for the next generation cryogenic gravitational wave detector.

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Modeling and optimization methods of integrated production planning for steel plate mill with flexible customization

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Chinese Journal of Chemical Engineering 2015年第12期23卷 2037-2047页

作者：卢山苏宏业 Charlotta Johnsson 王越谢磊 State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and ControlZhejiang University Department of Automatic Control Lund University

With diversified requirements and varying manufacturing environments, the optimal production planning for a steel mill becomes more flexible and complicated. The flexibility provides operators with auxiliary requirements through an implementable integrated production planning. In this paper, a mixed-integer nonlinear programming(MINLP) model is proposed for the optimal planning that incorporates various manufacturing constraints and flexibility in a steel plate mill. Furthermore, two solution strategies are developed to overcome the weakness in solving the MINLP problem directly. The first one is to transform the original MINLP formulation to an approximate mixed integer linear programming using a classic linearization method. The second one is to decompose the original model using a branch-and-bound based iterative method. Computational experiments on various instances are presented in terms of the effectiveness and applicability. The result shows that the second method performs better in computational efforts and solution accuracy.

关键词： Production planning Steel plate mill Flexibility Mixed integer nonlinear programming

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Integrating Genetic Algorithm with Time control for Just-In-Time Scheduling Problems

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IFAC-PapersOnLine 2015年第3期48卷 893-897页

作者： Chen, Junru Weng, Wei Rong, Gang Fujimura, Shigeru Graduate School of Information Production and Systems Waseda University 2-7 Hibikino Wakamatsu-ku Kitakyushu Fukuoka 808-0135 Japan State Key Laboratory of Industrial Control Technology Institute of Cyber-systems and Control Zhejiang University Hangzhou 310027 China

To reduce inventory costs and increase customer satisfaction in a real production environment, Just-in-Time (JIT) manufacturing should be combined with more flexibility. Flexibility in manufacturing system ensures improved product quality and mass customization. In this paper, we consider flexible job-shop problem (FJSP) to include several types of flexibility. Prior research on JIT scheduling problems paid little attention to flexible job shop systems. In this paper, an optimization method for FJSP for JIT manufacturing was proposed, genetic algorithm and time control are integrated to improve the JIT performance. Computational simulations and comparisons demonstrate that the proposed method shows more competitive performance than other evolutionary algorithms. © 2015, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.

关键词： Genetic algorithms

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Prevalence and attributable health burden of chronic respiratory diseases, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

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The Lancet Respiratory Medicine 2020年第6期8卷 585-596页

作者： Soriano, Joan B Kendrick, Parkes J Paulson, Katherine R Gupta, Vinay Abrams, Elissa M Adedoyin, Rufus Adesoji Adhikari, Tara Ballav Advani, Shailesh M Agrawal, Anurag Ahmadian, Elham Alahdab, Fares Aljunid, Syed Mohamed Altirkawi, Khalid A Alvis-Guzman, Nelson Anber, Nahla Hamed Andrei, Catalina Liliana Anjomshoa, Mina Ansari, Fereshteh Antó, Josep M Arabloo, Jalal Athari, Seyyede Masoume Athari, Seyyed Shamsadin Awoke, Nefsu Badawi, Alaa Banoub, Joseph Adel Mattar Bennett, Derrick A Bensenor, Isabela M Berfield, Kathleen S Sachiko Bernstein, Robert S Bhattacharyya, Krittika Bijani, Ali Brauer, Michael Bukhman, Gene Butt, Zahid A Cámera, Luis Alberto Car, Josip Carrero, Juan J Carvalho, Felix Castañeda-Orjuela, Carlos A Choi, Jee-Young Jasmine Christopher, Devasahayam J Cohen, Aaron J Dandona, Lalit Dandona, Rakhi Dang, Anh Kim Daryani, Ahmad de Courten, Barbora Demeke, Feleke Mekonnen Demoz, Gebre Teklemariam De Neve, Jan-Walter Desai, Rupak Dharmaratne, Samath Dhamminda Diaz, Daniel Douiri, Abdel Driscoll, Tim Robert Duken, Eyasu Ejeta Eftekhari, Aziz Elkout, Hajer Endries, Aman Yesuf Fadhil, Ibtihal Faro, Andre Farzadfar, Farshad Fernandes, Eduarda Filip, Irina Fischer, Florian Foroutan, Masoud Garcia-Gordillo, M.A. Gebre, Abadi Kahsu Gebremedhin, Ketema Bizuwork Gebremeskel, Gebreamlak Gebremedhn Gezae, Kebede Embaye Ghoshal, Aloke Gopal Gill, Paramjit Singh Gillum, Richard F Goudarzi, Houman Guo, Yuming Gupta, Rajeev Hailu, Gessessew Bugssa Hasanzadeh, Amir Hassen, Hamid Yimam Hay, Simon I Hoang, Chi Linh Hole, Michael K Horita, Nobuyuki Hosgood, H Dean Hostiuc, Mihaela Househ, Mowafa Ilesanmi, Olayinka Stephen Ilic, Milena D Irvani, Seyed Sina Naghibi Islam, Sheikh Mohammed Shariful Jakovljevic, Mihajlo Jamal, Amr A Jha, Ravi Prakash Jonas, Jost B Kabir, Zubair Kasaeian, Amir Kasahun, Gebremicheal Gebreslassie Kassa, Getachew Mullu Kefale, Adane Teshome Kengne, Andre Pascal Khader, Yousef Saleh Khafaie, Morteza Abdullatif Khan, Ejaz Ahmad Khan, Junaid Khubchandani, Jagdish Kim, Young-Eun Kim, Yun Jin Kisa, Hospital Universitario de La Princesa (Princess University Hospital) Madrid Spain Autonomous University of Madrid Madrid Spain Centro de Investigación Biomédica en Red Enfermedades Respiratorias (CIBERES) (Center for Biomedical Research in Respiratory Diseases Network) Madrid Spain Institute for Health Metrics and Evaluation Seattle WA United States Department of Surgery University of Washington Seattle WA United States Department of Health Metrics Sciences School of Medicine University of Washington Seattle WA United States Department of Global Health University of Washington Seattle WA United States Department of Medicine University of Washington Seattle WA United States University of Washington Seattle WA United States Section of Allergy and Clinical Immunology University of Manitoba Winnipeg MB Canada Ophthalmology Department University of Manitoba Winnipeg MB Canada Department of Paediatrics University of British Columbia Vancouver BC Canada School of Population and Public Health University of British Columbia Vancouver BC Canada Department of Medical Rehabilitation Obafemi Awolowo University Ile-Ife Nigeria Department of Public Health Aarhus University Aarhus Denmark Nepal Health Frontiers University of Southern Denmark Kathmandu Nepal Social Behavioral Research Branch National Institute of Health Bethesda MD United States Department of Oncology Georgetown University Washington DC United States Institute of Genomics and Integrative Biology Council of Scientific & Industrial Research Delhi India Internal Medicine Baylor College of Medicine Houston TX United States Research Center for Chronic Kidney Disease Tabriz University of Medical Sciences Tabriz Iran Research Center for Evidence Based Medicine Tabriz University of Medical Sciences Tabriz Iran Joint Ukraine-Azerbaijan International Research and Education Center of Nanobiotechnology and Functional Nanosystems Baku Azerbaijan Mayo Evidence-based Practice Center Mayo Clinic Foundat

Background: Previous attempts to characterise the burden of chronic respiratory diseases have focused only on specific disease conditions, such as chronic obstructive pulmonary disease (COPD) or asthma. In this study, we aimed to characterise the burden of chronic respiratory diseases globally, providing a comprehensive and up-to-date analysis on geographical and time trends from 1990 to 2017. Methods: Using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017, we estimated the prevalence, morbidity, and mortality attributable to chronic respiratory diseases through an analysis of deaths, disability-adjusted life-years (DALYs), and years of life lost (YLL) by GBD super-region, from 1990 to 2017, stratified by age and sex. Specific diseases analysed included asthma, COPD, interstitial lung disease and pulmonary sarcoidosis, pneumoconiosis, and other chronic respiratory diseases. We also assessed the contribution of risk factors (smoking, second-hand smoke, ambient particulate matter and ozone pollution, household air pollution from solid fuels, and occupational risks) to chronic respiratory disease-attributable DALYs. Findings: In 2017, 544·9 million people (95% uncertainty interval [UI] 506·9–584·8) worldwide had a chronic respiratory disease, representing an increase of 39·8% compared with 1990. Chronic respiratory disease prevalence showed wide variability across GBD super-regions, with the highest prevalence among both males and females in high-income regions, and the lowest prevalence in sub-Saharan Africa and south Asia. The age-sex-specific prevalence of each chronic respiratory disease in 2017 was also highly variable geographically. Chronic respiratory diseases were the third leading cause of death in 2017 (7·0% [95% UI 6·8–7·2] of all deaths), behind cardiovascular diseases and neoplasms. Deaths due to chronic respiratory diseases numbered 3 914 196 (95% UI 3 790 578–4 044 819) in 2017, an increase of 18·0% since 1990, while

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Direct identification for n-alkanes (n ≥ 4) by an ambient mass spectrometric method based on microwave plasma

Direct identification for n-alkanes (n ≥ 4) by an ambient m...

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作者： Zhang, T.Q. Hu, S.G. Jin, Q.H. Division of Energy and Environmental Measurement National Institute of Metrology Beijing China State Key Laboratory of Industrial System and Control Research Center for Analytical Instrumentation Institute of Cyber Systems and Control Zhejiang University Hangzhou China

ISBN: (纸本)9781138029330

n-Alkanes (n > 4) show very similar physical characteristics and it is quite difficult to identify them by direct observation. Here, a direct identification method based on ambient mass spectrometry was developed to distinguish n-alkanes (n ≥ 4). Three gaseous alkanes (propane, n-butane and iso-butane) and five liquid alkanes (n-pentane, n-hexane, n-nonane, n-dodecane, and n-tridecane) had been analyzed with two sampling ways: 1) the central tube sampling and, 2) the atmospheric pressure-volatilizing sampling. The sample was ionized through plasma, which was generated from a Microwave Plasma Torch (MPT). The results show that after the central tube sampling, the alkanes are more easily to dissociate by losing—CH2–, then the generated fragment ions will recombine to prolong the carbon chain lengths. The end products are the new alkanes by losing or adding n (–CH2–) (n is not fixed) from the original alkanes. While after the atmospheric pressure-volatizing sampling, n-alkanes (n ≥ 4) are more easily to produce ions of [M+13]+ regularly. Thus, based on this phenomenon, n-alkanes (n ≥ 4) can be identified directly. Also, the developed method shows very good detection limit, which can be as low as 0.7 nmol/mol. © 2015 Taylor & Francis Group, London.

关键词： Atmospheric pressure

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Traversable region detection with a learning framework

Traversable region detection with a learning framework

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Qingquan Zhang Yong Liu Yiyi Liao Yue Wang Institute of Cyber-Systems and Control Zheiiang University Zheiiang China State Key Laboratory of Industrial Control Technology and Institute of Cyber-Systems and Control

ISBN: (纸本)9781479969241

In this paper, we present a novel learning framework for traversable region detection. Firstly, we construct features from the super-pixel level which can reduce the computational cost compared to pixel level. Multi-scale super-pixels are extracted to give consideration to both outline and detail information. Then we classify the multiple-scale super-pixels and merge the labels in pixel level. Meanwhile, we use weighted ELM as our classifier which can deal with the imbalanced class distribution since we only assume that a small region in front of robot is traversable at the beginning of learning. Finally, we employ the online learning process so that our framework can be adaptive to varied scenes. Experimental results on three different style of image sequences, i.e. shadow road, rain sequence and variational sequence, demonstrate the adaptability, stability and parameter insensitivity of our method to the varied scenes and complex illumination.

关键词： Roads Training Measurement Frequency modulation Feature extraction Image segmentation Robots

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Deadlock control policy for a class of automated manufacturing systems with key resources

Deadlock control policy for a class of automated manufacturi...

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IEEE International Conference on Networking, Sensing and control

作者： Huixia Liu Weimin Wu State Key Laboratory of Industrial Control Technology & Institute of Cyber-Systems and Control Ludong University Yantai China State Key Laboratory of Industrial Control Technology & Institute of Cyber-Systems and Control Zhejiang University Hangzhou China

ISBN: (纸本)9781479980703

For automated manufacturing systems (AMSs) without center resources that are one-unit resources shared by two or more maximal perfect resource transition circuits, the optimal Petri net-based polynomial complexity deadlock avoidance policies are synthesized in our previous work. Based on Petri net models of AMSs, this work focuses on the deadlock control problem for AMSs with center resources. First, the concepts of key resources and key transitions are presented. It can prove that key transitions can bring AMSs with key resources into secondary-deadlock, i.e. the controlled Petri nets of AMSs with key resources are not live. Second, for a class of AMSs with key resources, secondary-deadlock can be characterized by maximal perfect control transition circuits (MPCT-circuits) that are saturated at a reachable marking of the controlled system. Then, by adding a control place and related arcs to each MPCT-circuit, secondary-deadlock can be prevented. Thereby, a deadlock control policy for a class of AMSs with center resources is synthesized. Finally, a few examples are provided to demonstrate the presented policy and used to compare them with the state-of-the-art methods.

关键词： Petri nets System recovery Manufacturing systems Firing Fires Polynomials Complexity theory

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Guest Editorial for Special Issue on cyber-Physical systems

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IEEE/CAA Journal of Automatica Sinica 2015年第3期2卷 233-234页

作者： Youxian Sun Xinping Guan Jiming Chen Yilin Mo Zhejiang University the Chinese Academy of Engineering the Institute of Industrial Process Control and the National Engineering Research Center of Industrial Automation Zhejiang University Department of Automation Shanghai Jiao Tong University University Research Management Office Shanghai Jiao Tong University the Key Laboratory of Systems Control and Information Processing Ministry of Education of China the prestigious Innovative Research Team of the National Natural Science Foundation of China(NSFC) Department of Control Science and Engineering group of Networked Sensing and Control in the State Key laboratory of Industrial Control Technology Institute of Industrial Process Control at Zhejiang University the School of Electrical and Electronic Engineering at Nanyang Technological University

Ⅰ.Introduction cyber-PHYSICAL system is a system of collaborating computational elements to control physical *** coordination and the tight link between computational,virtual and physical resources in cyber-physical system will have a pervasive effect on our everyday *** development of cyber-physical system will create new opportunities for the introduction of services that will enhance the quality of life

关键词： for WSAN Guest Editorial for Special Issue on cyber-Physical systems of into on WSN is

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