信息物理系统技术综述

李洪阳; 魏慕恒; 黄洁; 邱伯华; 赵晔; 骆文城; 何晓; 何潇; 李洪阳; 魏慕恒; 黄洁; 邱伯华; 赵晔; 骆文城; 何晓; 何潇

doi:10.16383/j.aas.2018.c180362

[1]

信息物理系统白皮书.中国电子技术标准化研究院, [Online], available: http://www.cesi.cn/201703/2251.html, 2018年9月21日

White Paper: Cyber-Physical System. China Electronics Standardization Institute, [Online], available: http://www.cesi.cn/201703/2251.html, September 21, 2018

[2]

李杰, 邱伯华, 刘宗长, 魏慕恒. CPS:新一代工业智能.上海:上海交通大学出版社, 2017.

Lee J, Qiu Bo-Hua, Liu Zong-Chang, Wei Mu-Heng. Cyber-Physical System:The New Generation of Industrial Intelligence. Shanghai:Shanghai Jiao Tong University Press, 2017.

[3]

邢黎闻.孙优贤院士论工业信息物理融合系统.信息化建设, 2018, (1):10-11 http://www.cnki.com.cn/Article/CJFDTotal-XXJS201801004.htm

Xing Li-Wen. A report from academician You-Xian Sun on industrial cyber physics fusion systems. Informatization Construction, 2018, (1):10-11 http://www.cnki.com.cn/Article/CJFDTotal-XXJS201801004.htm

[4]

温景容, 武穆清, 宿景芳.信息物理融合系统.自动化学报, 2012, 38(4):507-517 http://www.aas.net.cn/CN/abstract/abstract17704.shtml

Wen Jing-Rong, Wu Mu-Qing, Su Jing-Fang. Cyber-physical system. Acta Automatica Sinica, 2012, 38(4):507-517 http://www.aas.net.cn/CN/abstract/abstract17704.shtml

[5]

黎作鹏, 张天驰, 张菁.信息物理融合系统(CPS)研究综述.计算机科学, 2011, 38(9):25-31 doi: 10.3969/j.issn.1002-137X.2011.09.005

Li Zuo-Peng, Zhang Tian-Chi, Zhang Jing. Survey on the research of cyber-physical systems (CPS). Computer Science, 2011, 38(9):25-31 doi: 10.3969/j.issn.1002-137X.2011.09.005

[6]

Guo A, Yu D, Hu Y, Wang S, An T, Zhang T F. Design and implementation of data collection system based on CPS model. In: Proceedings of the 2015 International Conference on Computer Science and Mechanical Automation (CSMA). Hangzhou, China: IEEE, 2015. 139-143 https://ieeexplore.ieee.org/document/7371638/

[7]

Iri N, Yu L, Shen H Y, Caulfield G. Congestion-adaptive data collection with accuracy guarantee in cyber-physical systems. In: Proceedings of the 12th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON). Seattle, WA, USA: IEEE, 2015. 82-90 https://ieeexplore.ieee.org/document/7338294

[8]

Huang W Q, Dai W B, Wang P, Vyatkin V. Real-time data acquisition support for IEC 61499 based industrial cyber-physical systems. In: Proceedings of the 43rd Annual Conference of the IEEE Industrial Electronics Society (IECON). Beijing, China: IEEE, 2017. 6689-6694

[9]

齐超, 何勇.基于CPS的数据采集系统设计.计算机系统应用, 2010, 19(6):5-8 doi: 10.3969/j.issn.1003-3254.2010.06.002

Qi Chao, He Yong. Design of data collection system based on CPS. Computer Systems and Applications, 2010, 19(6):5-8 doi: 10.3969/j.issn.1003-3254.2010.06.002

[10]

Kuo S Y, Chou Y H, Chen C Y. Quantum-inspired algorithm for cyber-physical visual surveillance deployment systems. Computer Networks, 2017, 117:5-18 doi: 10.1016/j.comnet.2016.11.013

[11]

Wang H, Li J Z, Gao H. Minimized cost gateway deployment in cyber-physical systems. International Journal of Distributed Sensor Networks, 2015, 2015(9):Article No. 28 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=Doaj000003917695

[12]

Kim Y H, Kim C M, Han Y H, Jeong Y S, Park D S. An efficient strategy of nonuniform sensor deployment in cyber physical systems. The Journal of Supercomputing, 2013, 66(1):70-80 doi: 10.1007/s11227-013-0977-9

[13]

Liu J, Kou T Y, Chen Q, Sherali H D. On wireless network infrastructure optimisation for cyber-physical systems in future smart buildings. International Journal of Sensor Networks, 2015, 18(3-4):148-160 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=93cfb3991706a7137e525bd2ea71ce54

[14]

蒋俊, 黄传河, 华超, 胡海桥, 彭晖.基于软件定义资源的实时控制CPS数据传输机制.计算机工程与科学, 2015, 37(12):2250-2255 doi: 10.3969/j.issn.1007-130X.2015.12.009

Jiang Jun, Huang Chuan-He, Hua Chao, Hu Hai-Qiao, Peng Hui. Data transmission scheme of real-time control CPS based on software defined resources. Computer Engineering and Science, 2015, 37(12):2250-2255 doi: 10.3969/j.issn.1007-130X.2015.12.009

[15]

Liu K, Lee V C S, Ng J K Y, Son S H, Sha E H M. Scheduling temporal data with dynamic snapshot consistency requirement in vehicular cyber-physical systems. ACM Transactions on Embedded Computing Systems, 2014, 13(5S):Article No. 163 https://dl.acm.org/citation.cfm?id=2629546

[16]

Xia F, Wang L Q, Zhang D Q, He D J, Kong X J. An adaptive MAC protocol for real-time and reliable communications in medical cyber-physical systems. Telecommunication Systems, 2015, 58(2):125-138 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=48f8311b9ea23dee9961f88c4283c747

[17]

You M L, Liu Q T, Sun H J. New communication strategy for spectrum sharing enabled smart grid cyber-physical system. IET Cyber-Physical Systems:Theory and Applications, 2017, 2(3):136-142 https://ieeexplore.ieee.org/document/8104002/

[18]

Nguyen N T, Leu M C, Liu X Q F. Real-time communication for manufacturing cyber-physical systems. In: Proceedings of the 16th IEEE International Symposium on Network Computing and Applications (NCA). Cambridge, MA, USA: IEEE, 2017. 241-244 https://www.computer.org/csdl/proceedings/nca/2017/1465/00/08171361-abs.html

[19]

Lazaro C, Oruklu E, Cinar A. Cyber-physical platform development for multivariable artificial pancreas systems. International Journal of Handheld Computing Research, 2015, 6(3):1-16 doi: 10.4018/IJHCR

[20]

Ma M M, An J Y, Huang Z, Cao Z B. Sensor data fusion based on an improved dempaster-shafer evidence theory in vehicular cyber-physical systems. In: Proceedings of the 2015 IEEE International Symposium on Intelligent Control (ISIC). Sydney, Australia: IEEE, 2015. 683-687

[21]

彭宇, 罗清华, 彭喜元.网络化测试体系中不确定性数据处理方法浅析.仪器仪表学报, 2010, 31(1):229-240 http://d.old.wanfangdata.com.cn/Periodical/yqyb201001040

Peng Yu, Luo Qing-Hua, Peng Xi-Yuan. Analysis of uncertain data processing methods in networking test framework. Chinese Journal of Scientific Instrument, 2010, 31(1):229-240 http://d.old.wanfangdata.com.cn/Periodical/yqyb201001040

[22]

Fitzgerald J, Gamble C, Payne R, Larsen P G, Basagiannis S, Mady A E D. Collaborative model-based systems engineering for cyber-physical systems, with a building automation case study. INCOSE International Symposium, 2016, 26(1):817-832 doi: 10.1002/j.2334-5837.2016.00195.x

[23]

Larsen P G, Fitzgerald J, Woodcock J, Nilsson R, Gamble C, Foster S. Towards semantically integrated models and tools for cyber-physical systems design. In: Proceedings of the 7th International Symposium on Leveraging Applications of Formal Methods, Verification and Validation. Corfu, Greece: Springer, 2016. 171-186 doi: 10.1007%2F978-3-319-47169-3_13

[24]

Wang B B, Baras J S. HybridSim: a modeling and co-simulation toolchain for cyber-physical systems. In: Proceedings of the 17th IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications. Delft, Netherlands: IEEE, 2013. 33-40 https://ieeexplore.ieee.org/document/6690491

[25]

Derler P, Lee E A, Vincentelli A S. Modeling cyber-physical systems. Proceedings of the IEEE, 2012, 100(1):13-28 http://d.old.wanfangdata.com.cn/Periodical/dlxtzdh201116001

[26]

Wan J, Canedo A, Faruque M A A. Cyber-physical codesign at the functional level for multidomain automotive systems. IEEE Systems Journal, 2017, 11(4):2949-2959 https://ieeexplore.ieee.org/document/7293612

[27]

Vatanparvar K, Faezi S, Burago I, Levorato M, Faruque M A A. Extended range electric vehicle with driving behavior estimation in energy management. IEEE Transactions on Smart Grid, 2018, DOI: 10.1109/TSG.2018.2815689

[28]

Sun Z, Ou G, Dyke S J, Lu C. A state estimation method for wireless structural control systems. Structural Control and Health Monitoring, 2017, 24(6):Article No. e1929 doi: 10.1002/stc.1929

[29]

Savas A J, Srivastava V, Leonard N E. On distributed linear filtering with noisy communication. In: Proceedings of the 2017 American Control Conference (ACC). Seattle, WA, USA: IEEE, 2017. 2699-2704

[30]

Shoukry Y, Nuzzo P, Puggelli A, Sangiovanni-Vincentelli A L, Seshia S A, Tabuada P. Secure state estimation for cyber-physical systems under sensor attacks:a satisfiability modulo theory approach. IEEE Transactions on Automatic Control, 2017, 62(10):4917-4932 doi: 10.1109/TAC.2017.2676679

[31]

Mishra S, Shoukry Y, Karamchandani N, Diggavi S N, Tabuada P. Secure state estimation against sensor attacks in the presence of noise. IEEE Transactions on Control of Network Systems, 2017, 4(1):49-59 https://ieeexplore.ieee.org/document/7562377

[32]

Shoukry Y, Tabuada P. Event-triggered state observers for sparse sensor noise/attacks. IEEE Transactions on Automatic Control, 2016, 61(8):2079-2091 doi: 10.1109/TAC.2015.2492159

[33]

Sun Z X, Krishnan S, Hackmann G, Yan G R, Dyke S J, Lu C Y, et al. Damage detection on a full-scale highway sign structure with a distributed wireless sensor network. Smart Structures and Systems, 2015, 16(1):223-242 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=JAKO201523047607134

[34]

Reppa V, Polycarpou M M, Panayiotou C G. Distributed sensor fault diagnosis for a network of interconnected cyberphysical systems. IEEE Transactions on Control of Network Systems, 2015, 2(1):11-23 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=fbbe2bcac5456010f7f61c22d89f6c63

[35]

Lokhov A Y, Lemons N, McAndrew T C, Hagberg A, Backhaus S. Detection of cyber-physical faults and intrusions from physical correlations. In: Proceedings of the 16th IEEE International Conference on Data Mining (ICDM). Barcelona, Spain: IEEE, 2016. 303-310

[36]

Payne R, Fitzgerald J, Bryans J, Winthorpe E. Applying model-based SE techniques for dependable land systems. INCOSE International Symposium, 2016, 26(1):1783-1798 doi: 10.1002/iis2.2016.26.issue-1

[37]

Rungger M, Tabuada P. A notion of robustness for cyber-physical systems. IEEE Transactions on Automatic Control, 2016, 61(8):2108-2123 doi: 10.1109/TAC.2015.2492438

[38]

Jackson M, Fitzgerald J S. Resilience profiling in the model-based design of cyber-physical systems. In: Proceedings of the 14th Overture Workshop on Towards Analytical Tool Chains. Limassol, Cyprus: Aarhus University Department of Engineering, 2016. 1-16

[39]

De Persis C, Postoyan R. A Lyapunov redesign of coordination algorithms for cyber-physical systems. IEEE Transactions on Automatic Control, 2017, 62(2):808-823 doi: 10.1109/TAC.2016.2565062

[40]

Dinh S, Li J, Agrawal K, Gill C, Lu C Y. Blocking analysis for spin locks in real-time parallel tasks. IEEE Transactions on Parallel and Distributed Systems, 2018, 29(4):789-802 https://ieeexplore.ieee.org/document/8122044

[41]

Lee H, Faruque M A A. Run-time scheduling framework for event-driven applications on a GPU-based embedded system. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2016, 35(12):1956-1967 doi: 10.1109/TCAD.2016.2547916

[42]

Quintas J, Menezes P, Dias J. Information model and architecture specification for context awareness interaction decision support in cyber-physical human-machine systems. IEEE Transactions on Human-Machine Systems, 2017, 47(3):323-331 doi: 10.1109/THMS.2016.2634923

[43]

Wang F F, Ju F, Lu Y. A study on performance evaluation and status-based decision for cyber-physical production systems. In: Proceedings of the 13th IEEE Conference on Automation Science and Engineering (CASE). Xi'an, China: IEEE, 2017. 1000-1005 https://ieeexplore.ieee.org/document/8256233

[44]

Vatanparvar K, Fakhouri S, Siddika M A, Faruque M A A. Compartmentalisation-based design automation method for power grid. IET Cyber-Physical Systems:Theory and Applications, 2017, 2(1):20-27 https://ieeexplore.ieee.org/document/7898558

[45]

Ma Y H, Gunatilaka D, Li B, Gonzalez H, Lu C Y. Holistic cyber-physical management for dependable wireless control systems. ACM Transactions on Cyber-Physical Systems, 2018, 3(1):Article No. 3 https://arxiv.org/abs/1705.01862

[46]

Ames A D, Xu X R, Grizzle J W, Tabuada P. Control barrier function based quadratic programs for safety critical systems. IEEE Transactions on Automatic Control, 2017, 62(8):3861-3876 doi: 10.1109/TAC.2016.2638961

[47]

Buini H M, Peter S, Givargis T. Adaptive embedded control of cyber-physical systems using reinforcement learning. IET Cyber-Physical Systems:Theory and Applications, 2017, 2(3):127-135 https://ieeexplore.ieee.org/document/8103981

[48]

Xu J, Haddad W M, Hayakawa T. An adaptive control architecture for cyber-physical system security in the face of sensor and actuator attacks and exogenous stochastic disturbances. In: Proceedings of the 56th Annual Conference on Decision and Control (CDC). Melbourne, Australia: IEEE, 2017. 1380-1385 https://ieeexplore.ieee.org/document/8263847

[49]

An L W, Yang G H. Decentralized adaptive fuzzy secure control for nonlinear uncertain interconnected systems against intermittent DoS attacks. IEEE Transactions on Cybernetics, 2018, DOI: 10.1109/TCYB.2017.2787740

[50]

Song Y D, Huang X C, Wen C Y. Robust adaptive fault-tolerant PID control of MIMO nonlinear systems with unknown control direction. IEEE Transactions on Industrial Electronics, 2017, 64(6):4876-4884 doi: 10.1109/TIE.2017.2669891

[51]

Cheng S T, Chou J H. Fuzzy-based actuators controlling for minimizing power consumption in cyber-physical system. In: Proceedings of the 26th IEEE International Conference on Advanced Information Networking and Applications. Fukuoka City, Japan: IEEE, 2012. 160-166 https://ieeexplore.ieee.org/document/6184866

[52]

Garcia C A, Castellanos E X, Buele J, Espinoza J, Beltrán C, Pilatasig M, et al. Fuzzy control implementation in low cost CPPS devices. In: Proceedings of the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI). Daegu, South Korea: IEEE, 2017. 162-167

[53]

Carni D, Grimaldi D, Nigro L, Sciammarella P F, Cicirelli F. Agent-based software architecture for distributed measurement systems and cyber-physical systems design. In: Proceedings of the 2017 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). Torino, Italy: IEEE, 2017. 1898-1903 https://ieeexplore.ieee.org/document/7969977

[54]

Engelsberger M, Greiner T. Software architecture for cyber-physical control systems with flexible application of the software-as-a-service and on-premises model. In: Proceedings of the 2015 IEEE International Conference on Industrial Technology (ICIT). Seville, Spain: IEEE, 2015. 1544-1549 https://ieeexplore.ieee.org/document/7125316

[55]

Kim J H, Lee S H, Kim W T, Park S M. Data transport block structure design in CPS middleware subsystem. In: Proceedings of the 2010 International Conference on Information and Communication Technology Convergence (ICTC). Jeju, South Korea: IEEE, 2010. 427-428 https://ieeexplore.ieee.org/document/5674808

[56]

Dabholkar A, Gokhale A. An approach to middleware specialization for cyber physical systems. In: Proceedings of the 29th IEEE International Conference on Distributed Computing Systems Workshops. Montreal, Canada: IEEE, 2009. 73-79 https://ieeexplore.ieee.org/document/5158836

[57]

Reijers N, Wang Y C, Shih C S, Hsu J Y, Lin K J. Building intelligent middleware for large scale CPS systems. In: Proceedings of the 2011 IEEE International Conference on Service-Oriented Computing and Applications (SOCA). Irvine, CA, USA: IEEE, 2011. 1-4 https://ieeexplore.ieee.org/document/6166238

[58]

Huang J, Bastani F, Yen I L, Dong J, Zhang W, Wang F J, et al. Extending service model to build an effective service composition framework for cyber-physical systems. In: Proceedings of the 2009 IEEE International Conference on Service-Oriented Computing and Applications (SOCA). Taipei, China: IEEE, 2009. 1-8 https://ieeexplore.ieee.org/document/5410453

[59]

Feljan A V, Mohalik S K, Jayaraman M B, Badrinath R. SOA-PE: a service-oriented architecture for planning and execution in cyber-physical systems. In: Proceedings of the 2015 International Conference on Smart Sensors and Systems (IC-SSS). Bangalore, India: IEEE, 2015. 1-6 https://ieeexplore.ieee.org/document/7873602

[60]

Yen I L, Zhu W, Bastani F, Huang Y T, Zhou G. Rapid service composition reasoning for agile cyber physical systems. In: Proceedings of the 10th IEEE International Symposium on Service-Oriented System Engineering (SOSE). Oxford, England: IEEE, 2016. 442-449 https://ieeexplore.ieee.org/document/7473059

[61]

Wang T, Niu C L, Cheng L L. A two-phase context-sensitive service composition method with the workflow model in cyber-physical systems. In: Proceedings of the 17th IEEE International Conference on Computational Science and Engineering. Chengdu, China: IEEE, 2014. 1475-1482 https://ieeexplore.ieee.org/document/7023786

[62]

Li F F, Liu C, Yu G, Chen Z. A scheduling algorithm of events with uncertain timestamps for CPS. In: Proceedings of the 3rd International Conference on Big Data Computing and Communications (BIGCOM). Chengdu, China: IEEE, 2017. 313-319 https://www.infona.pl/resource/bwmeta1.element.ieee-art-000008113083

[63]

Chejerla B K, Madria S. Information fusion architecture for variable-load scheduling in a cloud-assisted CPS. In: Proceedings of the 2nd IEEE International Conference on Collaboration and Internet Computing (CIC). Pittsburgh, PA, USA: IEEE, 2016. 178-187 https://ieeexplore.ieee.org/abstract/document/7809705/

[64]

Zhou B H, Yu M, Liu T. A mixed parameter scheduling algorithm of node operating system in CPS. In: Proceedings of the 12th World Congress on Intelligent Control and Automation (WCICA). Guilin, China: IEEE, 2016. 2980-2985 https://ieeexplore.ieee.org/document/7578492

[65]

Zhou B H, Yao Y, Mao H Y, Yao D P, Xu L B. Research on optimal ELSF real-time scheduling algorithm for CPS. In: Proceedings of the 28th Chinese Control and Decision Conference (CCDC). Yinchuan, China: IEEE, 2016. 6867-6871 https://ieeexplore.ieee.org/document/7532235

[66]

Schneider R, Goswami D, Masrur A, Chakraborty S. QoC-oriented efficient schedule synthesis for mixed-criticality cyber-physical systems. In: Proceedings of the 2012 Forum on Specification and Design Languages. Vienna, Austria: IEEE, 2012. 60-67 https://ieeexplore.ieee.org/document/6336986

[67]

Zhang J, Yang X D, Fan H B. An improved real-time task preemptive scheduling in cyber-physical systems. In: Proceedings of the 29th Chinese Control and Decision Conference (CCDC). Chongqing, China: IEEE, 2017. 5843-5848 https://ieeexplore.ieee.org/document/7978213

[68]

伦永亮, 程良伦.一种基于反馈的CPS上层资源动态分配与优化调度策略.科技通报, 2012, 28(12):128-130 doi: 10.3969/j.issn.1001-7119.2012.12.044

Lun Yong-Liang, Cheng Liang-Lun. A kind of the upper resources based on feedback CPS dynamic allocation and optimization scheduling strategy. Bulletin of Science and Technology, 2012, 28(12):128-130 doi: 10.3969/j.issn.1001-7119.2012.12.044

[69]

韩杰, 马斌, 黄宽, 王长涛, 魏威.基于蚁群算法的分布式CPS系统任务调度设计.测控技术, 2015, 34(2):121-124 doi: 10.3969/j.issn.1000-8829.2015.02.033

Han Jie, Ma Bin, Huang Kuan, Wang Chang-Tao, Wei Wei. Design of distributed CPS system task scheduling based on ant colony algorithm. Measurement and Control Technology, 2015, 34(2):121-124 doi: 10.3969/j.issn.1000-8829.2015.02.033

[70]

Yang T T, Feng H L, Zhao J, Deng R L, Wang Y, Su Z. Genetic optimization-based scheduling in maritime cyber physical systems. International Journal of Distributed Sensor Networks, 2017, 13(7):1-10

[71]

Gong H F, Li R F, An J Y, Chen W W, Li K Q. Scheduling algorithms of flat semi-dormant multicontrollers for a cyber-physical system. IEEE Transactions on Industrial Informatics, 2017, 13(4):1665-1680 doi: 10.1109/TII.2017.2690939

[72]

Park P. Traffic generation rate control of wireless sensor and actuator networks. IEEE Communications Letters, 2015, 19(5):827-830 doi: 10.1109/LCOMM.2015.2409064

[73]

Kim D, Won Y, Eun Y, Park K J. W-Simplex: resilient network and control co-design under wireless channel uncertainty in cyber-physical systems. In: Proceedings of the 2017 IEEE Conference on Control Technology and Applications (CCTA). Mauna Lani, HI, USA: IEEE, 2017. 49-54 https://ieeexplore.ieee.org/document/8062439

[74]

Lorenzo B, Garcia-Rois J, Li X H, Gonzalez-Castano J, Fang Y G. A robust dynamic edge network architecture for the internet of things. IEEE Network, 2018, 32(1):8-15 https://ieeexplore.ieee.org/document/8270625

[75]

Samant R, Agrawal A, Behera L. Design of communication network for cyber physical system. In: Proceedings of the 39th National Systems Conference (NSC). Noida, India: IEEE, 2015. 1-6 https://ieeexplore.ieee.org/document/7489082

[76]

Fallah Y P, Sengupta R. A cyber-physical systems approach to the design of vehicle safety networks. In: Proceedings of the 32nd International Conference on Distributed Computing Systems Workshops. Macau, China: IEEE, 2012. 324-329 https://ieeexplore.ieee.org/document/6258175

[77]

Taha A F, Gatsis N, Summers T, Nugroho S. Actuator selection for cyber-physical systems. In: Proceedings of the 2017 American Control Conference (ACC). Seattle, WA, USA: IEEE, 2017. 5300-5305 https://ieeexplore.ieee.org/document/7963778

[78]

Shen C, Chen S B. A cyber-physical design for indoor temperature monitoring using wireless sensor networks. In: Proceedings of the 2017 IEEE Wireless Communications and Networking Conference (WCNC). San Francisco, CA, USA: IEEE, 2017. 1-6 https://ieeexplore.ieee.org/document/7925596

[79]

Mariappan R, Reddy P V N, Wu C. Cyber physical system using intelligent wireless sensor actuator networks for disaster recovery. In: Proceedings of the 2015 International Conference on Computational Intelligence and Communication Networks (CICN). Jabalpur, India: IEEE, 2015. 95-99 https://ieeexplore.ieee.org/document/7546063

[80]

Garay J R B, Kofuji S T. Architecture for sensor networks in cyber-physical system. In: Proceedings of the 2010 IEEE Latin-American Conference on Communications. Bogota, Colombia: IEEE, 2010. 1-6 https://ieeexplore.ieee.org/document/5641126

[81]

Triki B, Rekhis S, Boudriga N. A novel secure and multipath routing algorithm in wireless sensor networks. In: Proceedings of the 2010 International Conference on Data Communication Networking (DCNET). Athens, Greece: IEEE, 2010. 25-34 https://ieeexplore.ieee.org/document/5740713

[82]

Pitt L, Green P R, Lennox B. A sensor network for predicting and maintaining occupant comfort. In: Proceedings of the 2013 IEEE Workshop on Environmental Energy and Structural Monitoring Systems. Trento, Italy: IEEE, 2013. 19-24 https://ieeexplore.ieee.org/document/6661696

[83]

Zhang R R. Research on advanced sensor network based cyber-physical system for the smart grid. In: Proceedings of the 2014 China International Conference on Electricity Distribution (CICED). Shenzhen, China: IEEE, 2014. 423-426 https://ieeexplore.ieee.org/document/6991742

[84]

Schleich B, Anwer N, Mathieu L, Wartzack S. Shaping the digital twin for design and production engineering. CIRP Annals, 2017, 66(1):141-144 doi: 10.1016/j.cirp.2017.04.040

[85]

Grieves M. Digital Twin: Manufacturing Excellence through Virtual Factory Replication. White paper, Florida Institute of Technology. 2015.

[86]

Alam K M, El Saddik A. C2PS:a digital twin architecture reference model for the cloud-based cyber-physical systems. IEEE Access, 2017, 5:2050-2062 doi: 10.1109/ACCESS.2017.2657006

[87]

Coronado P D U, Lynn R, Louhichi W, Parto M, Wescoat E, Kurfess T. Part data integration in the shop floor digital twin:mobile and cloud technologies to enable a manufacturing execution system. Journal of Manufacturing Systems, 2018, 48:25-33 doi: 10.1016/j.jmsy.2018.02.002

[88]

Zhuang C B, Liu J H, Xiong H. Digital twin-based smart production management and control framework for the complex product assembly shop-floor. International Journal of Advanced Manufacturing Technology, 2018, 96(1-4):1149-1163 doi: 10.1007%2Fs00170-018-1617-6

[89]

Iglesias D, Bunting P, Esquembri S, Hollocombe J, Silburn S, Vitton-Mea L, et al. Digital twin applications for the JET divertor. Fusion Engineering and Design, 2017, 125:71-76 doi: 10.1016/j.fusengdes.2017.10.012

[90]

彭昆仑, 彭伟, 王东霞, 邢倩倩.信息物理融合系统安全问题研究综述.信息网络安全, 2016, (7):20-28 doi: 10.3969/j.issn.1671-1122.2016.07.004

Peng Kun-Lun, Peng Wei, Wang Dong-Xia, Xing Qian-Qian. Research survey on security issues in cyber-physical systems. Netinfo Security, 2016, (7):20-28 doi: 10.3969/j.issn.1671-1122.2016.07.004

[91]

Zhao Y H, He X, Zhou D H. Optimal joint control and triggering strategies against denial of service attacks:a zero-sum game. IET Control Theory and Applications, 2017, 11(14):2352-2360 doi: 10.1049/iet-cta.2016.0601

[92]

Yang C, Yang W, Shi H B. DoS attack in centralised sensor network against state estimation. IET Control Theory and Applications, 2018, 12(9):1244-1253 doi: 10.1049/iet-cta.2017.0819

[93]

Yang Q Y, Yang J, Yu W, An D, Zhang N, Zhao W. On false data-injection attacks against power system state estimation:modeling and countermeasures. IEEE Transactions on Parallel and Distributed Systems, 2014, 25(3):717-729 https://ieeexplore.ieee.org/document/6490324

[94]

Zhao J F, Wang J, Yin L. Detection and control against replay attacks in smart grid. In: Proceedings of the 12th International Conference on Computational Intelligence and Security (CIS). Wuxi, China: IEEE, 2016. 624-627 https://ieeexplore.ieee.org/document/7820542

[95]

Esmalifalak M, Shi G, Han Z, Song L Y. Bad data injection attack and defense in electricity market using game theory study. IEEE Transactions on Smart Grid, 2013, 4(1):160-169 doi: 10.1109/TSG.2012.2224391

[96]

Beg O A, Johnson T T, Davoudi A. Detection of false-data injection attacks in cyber-physical DC microgrids. IEEE Transactions on Industrial Informatics, 2017, 13(5):2693-2703 doi: 10.1109/TII.2017.2656905

[97]

Yu J J Q, Hou Y H, Li V O K. Online false data injection attack detection with wavelet transform and deep neural networks. IEEE Transactions on Industrial Informatics, 2018, 14(7):3271-3280 doi: 10.1109/TII.2018.2825243

[98]

Zhu M H, Martínez S. On the performance analysis of resilient networked control systems under replay attacks. IEEE Transactions on Automatic Control, 2014, 59(3):804-808 doi: 10.1109/TAC.2013.2279896

[99]

Biron Z A, Dey S, Pisu P. Resilient control strategy under denial of service in connected vehicles. In: Proceedings of the 2017 American Control Conference (ACC). Seattle, WA, USA: IEEE, 2017. 4971-4976

[100]

胡虎, 赵敏, 宁振波, 郭朝晖, 陈志成, 朱铎先, 等.三体智能革命.北京:机械工业出版社, 2016.

Hu Hu, Zhao Min, Ning Zhen-Bo, Guo Zhao-Hui, Chen Zhi-Cheng, Zhu Duo-Xian, et al. Three-body Intelligence Revolution. Beijing:China Machine Press, 2016.

[101]

Yang B, Li J W, Han Q N, He T, Chen C L, Guan X P. Distributed control for charging multiple electric vehicles with overload limitation. IEEE Transactions on Parallel and Distributed Systems, 2016, 27(12):3441-3454 doi: 10.1109/TPDS.2016.2533614

[102]

Yang B, Shen Y Y, Han Q N, Chen C L, Guan X P, Zhang W D. Energy-efficient resource allocation for time-varying OFDMA relay systems with hybrid energy supplies. IEEE Systems Journal, 2018, 12(1):702-713 doi: 10.1109/JSYST.2016.2551319

[103]

何潇, 王子栋, 刘洋, 吉吟东, 周东华.基于Internet的网络化三容水箱实验平台.南京航空航天大学学报, 2011, 43(S1):190-193 http://d.old.wanfangdata.com.cn/Conference/7494302

He Xiao, Wang Zi-Dong, Liu Yang, Ji Yin-Dong, Zhou Dong-Hua. Internet-based three-tank experimental platform. Journal of Nanjing University of Aeronautics and Astronautics, 2011, 43(S1):190-193 http://d.old.wanfangdata.com.cn/Conference/7494302

[104]

Zhou D H, He X, Wang Z D, Liu G P, Ji Y D. Leakage fault diagnosis for an internet-based three-tank system:an experimental study. IEEE Transactions on Control Systems Technology, 2012, 20(4):857-870 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=dcdade5c459f91be56995f5823eb2ba0

[105]

He X, Wang Z D, Ji Y D, Zhou D H. Robust fault detection for networked systems with distributed sensors. IEEE Transactions on Aerospace and Electronic Systems, 2011, 47(1):166-177 doi: 10.1109/TAES.2011.5705667

[106]

He X, Wang Z D, Wang X F, Zhou D H. Networked strong tracking filtering with multiple packet dropouts:algorithms and applications. IEEE Transactions on Industrial Electronics, 2014, 61(3):1454-1463 doi: 10.1109/TIE.2013.2261038

[107]

邱伯华, 张玉峰, 魏慕恒, 何晓, 张羽, 朱慧敏. "大智号":智慧领航.科技纵览, 2018, (2):66-69 doi: 10.3969/j.issn.2095-4409.2018.02.025

Qiu Bo-Hua, Zhang Yu-Feng, Wei Mu-Heng, He Xiao, Zhang Yu, Zhu Hui-Min. Great intelligence:cyber-enable ship. IEEE Spectrum, 2018, (2):66-69 doi: 10.3969/j.issn.2095-4409.2018.02.025

[108]

邱伯华, 蒋云鹏, 魏慕恒, 何晓, 朱武.知识经济与CPS在船舶工业中的应用实践.信息技术与标准化, 2016, (11):17-21 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=QKC20162016123000024868

Qiu Bo-Hua, Jiang Yun-Peng, Wei Mu-Heng, He Xiao, Zhu Wu. Knowledge economy and the application of CPS in shipbuilding industry. Information Technology and Standardization, 2016, (11):17-21 http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=QKC20162016123000024868

[109]

Qiu B H, Zhang Y, Wei M H, Li Y J, Wang Y. Hybrid cloud based cyber-enabled ship control and management system. In: Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management (ICPHM). Seattle, WA, USA: IEEE, 2018. 1-6

[110]

李杰[著], 邱伯华, 刘宗长, 魏慕恒, 董智升[译].工业大数据: 工业4.0时代的工业转型与价值创造.北京: 机械工业出版社, 2015.

Lee J[Author], Qiu Bo-Hua, Liu Zong-Chang, Wei Mu-Heng, Dong Zhi-Sheng[Translator]. Industrial Big Data: The Revolutionary Transformation and Value Creation in Industry 4.0 Era. Beijing: China Machine Press, 2015.