1. Department of Automation, Shanghai Jiao Tong University, Shanghai 200240; 2. Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai 200240; 3. School of Electrical Engineering, Yanshan University, Qinhuangdao 066004
Abstract：Industrial network system represents a kind of multi-dimensional dynamic systems with the integration of control, information and communication. They have the following three characteristics:high dimension, strong dynamics, and deep embededness of communication protocols and network configuration. How to realize distributed sensing, control adaptability and system coordination has become a new challenge in the network environment for industrial systems. This paper is concerned with the connotation and characteristics of industrial network systems, and the challenges and key issues aiming at the integration of sensing, transmission and control. We then give a brief overview of recent developments of distributed sensing, adaptive transmission and cooperative control in industrial control systems. The future research directions and potential applications of industrial network systems are also discussed at the end of this paper.
1 Chen C L, Zhu S Y, Guan X P, Shen X M. Wireless Sensor Networks:Distributed Consensus Estimation. Berlin, Germany:Springer, 2014. 2 Murray R M. Control in an Information Rich World:Report of the Panel on Future Directions in Control, Dynamics, and Systems. Philadelphia, PA, USA:SIAM, 2003. 3 Stenumgaard P, Chilo J, Ferrer-Coll J, Angskog P. Challenges and conditions for wireless machine-to-machine communications in industrial environments. IEEE Communications Magazine, 2013, 51(6):187-192 4 Kay S M. Fundamentals of Statistical Signal Processing:Estimation Theory. Upper Saddle River, NJ, USA:Prentice Hall, 1993. 5 Ribeiro A, Schizas I D, Roumeliotis S I, Giannakis G B. Kalman filtering in wireless sensor networks. IEEE Control Systems Magazine, 2010, 30(2):66-86 6 Xiao L, Boyd S, Lall S. A scheme for robust distributed sensor fusion based on average consensus. In:Proceedings of the 4th International Symposium on Information Processing in Sensor Networks (IPSN). Boise, ID, USA:IEEE, 2005. 63-70 7 Schizas I D, Ribeiro A, Giannakis G B. Consensus in Ad Hoc WSNs with noisy links, Part I:distributed estimation of deterministic signals. IEEE Transactions on Signal Processing, 2008, 56(1):350-364 8 Speranzon A, Fischione C, Johansson K H, Sangiovanni-Vincentelli A. A distributed minimum variance estimator for sensor networks. IEEE Journal on Selected Areas in Communications, 2008, 26(4):609-621 9 Barbarossa S, Sardellitti S, Di Lorenzo P. Distributed detection and estimation in wireless sensor networks. Academic Press Library in Signal Processing:Communications and Radar Signal Processing. New York, USA:Elsevier, 2014. 329-408 10 Cattivelli F S, Sayed A H. Diffusion LMS strategies for distributed estimation. IEEE Transactions on Signal Processing, 2010, 58(3):1035-1048 11 Zhao X C, Tu S Y, Sayed A H. Diffusion adaptation over networks under imperfect information exchange and non-stationary data. IEEE Transactions on Signal Processing, 2012, 60(7):3460-3475 12 Zhang Q, Zhang J F. Distributed parameter estimation over unreliable networks with Markovian switching topologies. IEEE Transactions on Automatic Control, 2012, 57(10):2545-2560 13 Zhang Qiang. Distributed estimation and control of multi-agent systems in uncertain environment. Scientia Sinica Mathematica, 2013, 43(6):529-540(张强. 不确定环境下多自主体系统的分布式估计与控制. 中国科学:数学, 2013, 43(6):529-540) 14 Fu M Y, Xie L H. The sector bound approach to quantized feedback control. IEEE Transactions on Automatic Control, 2005, 50(11):1698-1711 15 Xiao J J, Cui S G, Luo Z Q, Goldsmith A J. Power scheduling of universal decentralized estimation in sensor networks. IEEE Transactions on Signal Processing, 2006, 54(2):413-422 16 Xie S L, Li H R. Distributed LMS estimation over networks with quantised communications. International Journal of Control, 2013, 86(3):478-492 17 El Chamie M, Liu J, Başar T. Design and analysis of distributed averaging with quantized communication. IEEE Transactions on Automatic Control, 2016, 61(12):3870-3884 18 Liu S, Li T, Xie L H, Fu M Y, Zhang J F. Continuous-time and sampled-data-based average consensus with logarithmic quantizers. Automatica, 2013, 49(11):3329-3336 19 Li T, Fu M Y, Xie L H, Zhang J F. Distributed consensus with limited communication data rate. IEEE Transactions on Automatic Control, 2011, 56(2):279-292 20 Zhu S Y, Soh Y C, Xie L H. Distributed parameter estimation with quantized communication via running average. IEEE Transactions on Signal Processing, 2015, 63(17):4634-4646 21 Zhu S Y, Liu S, Soh Y C, Xie L H. Performance analysis of averaging based distributed estimation algorithm with additive quantization model. Automatica, 2017, 80:95-101 22 Kar S, Moura J M F, Ramanan K. Distributed parameter estimation in sensor networks:nonlinear observation models and imperfect communication. IEEE Transactions on Information Theory, 2012, 58(6):3575-3605 23 Zhu S Y, Chen C L, Ma X L, Yang B, Guan X P. Consensus based estimation over relay assisted sensor networks for situation monitoring. IEEE Journal of Selected Topics in Signal Processing, 2015, 9(2):278-291 24 Zhu S Y, Chen C L, Li W S, Yang B, Guan X P. Distributed optimal consensus filter for target tracking in heterogeneous sensor networks. IEEE Transactions on Cybernetics, 2013, 43(6):1963-1976 25 Zhu S Y, Soh Y C, Xie L H. Distributed inference for relay-assisted sensor networks with intermittent measurements over fading channels. IEEE Transactions on Signal Processing, 2016, 64(3):742-756 26 Ali S, Fakoorian A, Taheri H. Optimum Reed-Solomon erasure coding in fault tolerant sensor networks. In:Proceedings of the 4th International Symposium on Wireless Communication Systems. Trondheim, Norway:IEEE, 2007. 6-10 27 Marina M K, Das S R. Ad hoc on-demand multipath distance vector routing. Wireless Communications and Mobile Computing, 2006, 6(7):969-988 28 Villaverde B C, Rea S, Pesch D. InRout:a QoS aware route selection algorithm for industrial wireless sensor networks. Ad Hoc Networks, 2012, 10(3):458-478 29 Heo J, Hong J M, Cho Y. EARQ:energy aware routing for real-time and reliable communication in wireless industrial sensor networks. IEEE Transactions on Industrial Informatics, 2009, 5(1):3-11 30 Liu Y H, Zhu Y M, Ni L, Xue G T. A reliability-oriented transmission service in wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 2011, 22(12):2100-2107 31 Shi L, Epstein M, Nurray R M. Kalman filtering over a packet-dropping network:a probabilistic perspective. IEEE Transactions on Automatic Control, 2010, 55(3):594-604 32 You K Y, Fu M Y, Xie L H. Mean square stability for Kalman filtering with Markovian packet losses. Automatica, 2011, 47(12):2647-2657 33 Quevedo D E, Ahlen A, Johansson K H. State estimation over sensor networks with correlated wireless fading channels. IEEE Transactions on Automatic Control, 2013, 58(3):581-593 34 Xia M, Gupta V, Antsaklis P J. Networked state estimation over a shared communication medium. IEEE Transactions on Automatic Control, 2017, 62(4):1729-1741 35 Mamduhi M H, Molin A, Tolić D, Hirche S. Error-dependent data scheduling in resource-aware multi-loop networked control systems. Automatica, 2017, 81:209-216 36 Sinopoli B, Schenato L, Franceschetti M, Poolla K, Jordan M I, Sastry S S. Kalman filtering with intermittent observations. IEEE Transactions on Automatic Control, 2004, 49(9):1453-1464 37 Kluge S, Reif K, Brokate M. Stochastic stability of the extended Kalman filter with intermittent observations. IEEE Transactions on Automatic Control, 2010, 55(2):514-518 38 You Ke-You, Xie Li-Hua. Survey of recent progress in networked control systems. Acta Automatica Sinica, 2013, 39(2):101-118(游科友, 谢立华. 网络控制系统的最新研究综述. 自动化学报, 2013, 39(2):101-118) 39 Cao X H, Cheng P, Chen J M, Ge S S, Cheng Y, Sun Y X. Cognitive radio based state estimation in cyber-physical systems. IEEE Journal on Selected Areas in Communications, 2014, 32(3):489-502 40 Calvo-Fullana M, Antón-Haro C, Matamoros J, Ribeiro A. Random access communication for wireless control systems with energy harvesting sensors. arXiv:1801.10141, 2018. 41 Leong A, Quevedo D E. Kalman filtering with relays over wireless fading channels. IEEE Transactions on Automatic Control, 2016, 61(6):1643-1648 42 Cheng P, Qi Y F, Xin K F, Chen J M, Xie L H. Energy-efficient data forwarding for state estimation in multi-hop wireless sensor networks. IEEE Transactions on Automatic Control, 2016, 61(5):1322-1327 43 Cao X H, Cheng P, Chen J M, Sun Y X. An online optimization approach for control and communication codesign in networked cyber-physical systems. IEEE Transactions on Industrial Informatics, 2013, 9(1):439-450 44 Demirel B, Zou Z H, Soldati P, Johansson M. Modular design of jointly optimal controllers and forwarding policies for wireless control. IEEE Transactions on Automatic Control, 2014, 59(12):3252-3265 45 Gatsis K, Pajic M, Ribeiro A, Pappas G J. Opportunistic control over shared wireless channels. IEEE Transactions on Automatic Control, 2015, 60(12):3140-3155 46 Knorn S, Dey S. Optimal energy allocation for linear control with packet loss under energy harvesting constraints. Automatica, 2017, 77:259-267 47 Schenato L, Sinopoli B, Franceschetti M, Poolla K, Sastry S S. Foundations of control and estimation over lossy networks. Proceedings of the IEEE, 2007, 95(1):163-187 48 Lyu L, Chen C L, Hua C Q, Guan X P. State estimation oriented reliability enhancement with cooperative transmission in industrial CPSs. In:Proceedings of the 2016 IEEE Global Communications Conference. Washington, DC, USA:IEEE, 2016. 1-6 49 Tan K T, Peng X Y, So P L, Chu Y C, Chen M Z Q. Centralized control for parallel operation of distributed generation inverters in microgrids. IEEE Transactions on Smart Grid, 2012, 3(4):1977-1987 50 Bakule L. Decentralized control:an overview. Annual Reviews in Control, 2008, 32(1):87-98 51 Hua C C, Zhang L L, Guan X P. Robust Control for Nonlinear Time-Delay Systems. Singapore, Singapore:Springer, 2018. 52 Hua C C, Guan X P, Shi P. Robust backstepping control for a class of time delayed systems. IEEE Transactions on Automatic Control, 2005, 50(6):894-899 53 Hua C C, Feng G, Guan X P. Robust controller design of a class of nonlinear time delay systems via backstepping method. Automatica, 2008, 44:567-573 54 Šiljak D D. Decentralized Control of Complex Systems. Boston, USA:Academic Press, 1991. 55 Mahmoud M S, Bingulac S. Robust design of stabilizing controllers for interconnected time-delay systems. Automatica, 1998, 34(6):795-800 56 Xie S L, Xie L H. Stabilization of a class of uncertain large-scale stochastic systems with time delays. Automatica, 2000, 36(1):161-167 57 Yan X G, Spurgeon S K, Edwards C. Decentralised stabilisation for nonlinear time delay interconnected systems using static output feedback. Automatica, 2013, 49(2):633-641 58 Hua C C, Guan X P. Output feedback stabilization for time-delay nonlinear interconnected systems using neural networks. IEEE Transactions on Neural Networks, 2008, 19(4):673-688 59 Zhou J. Decentralized adaptive control for large-scale time-delay systems with dead-zone input. Automatica, 2008, 44(7):1790-1799 60 Niemeyer G, Slotine J J E. Stable adaptive teleoperation. IEEE Journal of Oceanic Engineering, 1991, 16(1):152-162 61 Nuño E, Ortega R, Barabanov N, Basañez L. A globally stable PD controller for bilateral teleoperators. IEEE Transactions on Robotics, 2008, 24(3):753-758 62 Hua C C, Liu X P. Delay-dependent stability criteria of teleoperation systems with asymmetric time-varying delays. IEEE Transactions on Robotics, 2010, 26(5):925-932 63 Tian D P, Yashiro D, Ohnishi K. Wireless haptic communication under varying delay by switching-channel bilateral control with energy monitor. IEEE/ASME Transactions on Mechatronics, 2012, 17(3):488-498 64 Yan J, Wan Y, Luo X Y, Chen C L, Hua C C, Guan X P. Formation control of teleoperating cyber-physical system with time delay and actuator saturation. IEEE Transactions on Control Systems Technology, 2018, 26(4):1458-1467 65 Lyu L, Chen C L, Yan J, Lin F L, Hua C Q, Guan X P. State estimation oriented wireless transmission for ubiquitous monitoring in industrial cyber-physical systems. IEEE Transactions on Emerging Topics in Computing, 2016, DOI:10.1109/tetc.2016.2573719 66 Lyu L, Chen C L, Zhu S Y, Guan X P. 5G enabled codesign of energy-efficient transmission and estimation for industrial IoT systems. IEEE Transactions on Industrial Informatics, 2018, 14(6):2690-2704 67 Lyu L, Chen C L, Hua C Q, Zhu S Y, Guan X P. Co-design of stabilisation and transmission scheduling for wireless control systems. IET Control Theory and Applications, 2017, 11(11):1767-1778 68 Zhu S Y, Chen C L, Guan X P. Sensor deployment for distributed estimation in heterogeneous wireless sensor networks. Ad Hoc & Sensor Wireless Networks, 2012, 16(4):297-322 69 Xue L, Guan X P, Liu Z X, Yang B. TREE:routing strategy with guarantee of QoS for industrial wireless sensor networks. International Journal of Communication Systems, 2014, 27(3):459-481 70 Barnwal R P, Bharti S, Misra S, Obaidat M S. UCGNet:wireless sensor network-based active aquifer contamination monitoring and control system for underground coal gasification. International Journal of Communication Systems, 2017, 30(1):e2852 71 Chen C L, Yan J, Lu N, Wang Y Y, Yang X, Guan X P. Ubiquitous monitoring for industrial cyber-physical systems over relay-assisted wireless sensor networks. IEEE Transactions on Emerging Topics in Computing, 2015, 3(3):352-362
2019, Vol. 45 
