Analysis and Challenges in Wireless Networked Control System: A Survey

(1) Mutaz M. Hamdan Mail (Department of Mechatronics Engineering, School of Engineering, The University of Jordan, Amman, 11942, Jordan)
(2) * MagdiSadek Mostafa Mahmoud Mail (Control and Instrumentation Engineering Department, KFUPM, Dhahran, Saudi Arabia)
*corresponding author

Abstract


A wireless networked control system (WNCS) consists of a dynamic system to be controlled, sensors, actuators, and a remote controller. A WNCS has two types of wireless transmissions, i.e., the sensor's measurement transmission to the controller and the controller's command transmission to the actuator. In this paper, we are surveying the literature on the communication networks in WNCSs and the challenges related to them, such as the communication standards, delay, Packet dropout, and delay jitter. Then, the control approaches in the design of a WNCS are presented, including the interactive design approaches and the joint design approaches. Also, several applications of WNCSs have been discussed in terms of their structure, functionality, and control design. These applications include Intra-Vehicle Wireless networks, Wireless Avionics Intra-Communication, Building Automation, and Water pumping. After that, security issues in WNCSs from a control engineering point of view are detailed while focusing on the major kinds of cyber attacks affecting WNCSs. Finally, future directions and conclusions are summarized at the end of the paper.

Keywords


Wireless networked control system; WNCS; Time-delay; Packet drop out; co-design; Interactive Design Approach; Joint Design Approach; Secure control system

   

DOI

https://doi.org/10.31763/ijrcs.v2i3.731
      

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[1] Y. Sadi, S. C. Ergen, and P. Park, “Minimum energy data transmission for wireless networked control systems,” IEEE Transactions on Wireless Communications, vol. 13, no. 4, pp. 2163–2175, 2014, https://doi.org/10.1109/TWC.2014.0204.131204.

[2] A. W. Al-Dabbagh and T. Chen, “Design considerations for wireless networked control systems,” IEEE Transactions on Industrial Electronics, vol. 63, no. 9, pp. 5547–5557, 2016, https://doi.org/10.1109/TIE.2016.2564950.

[3] P. Park, S. C. Ergen, C. Fischione, C. Lu, and K. H. Johansson, “Wireless network design for control systems: A survey,” IEEE Communications Surveys & Tutorials, vol. 20, no. 2, pp. 978–1013, 2017, https://doi.org/10.1109/COMST.2017.2780114.

[4] J. Sztipanovits, X. Koutsoukos, G. Karsai, N. Kottenstette, P. Antsaklis, V. Gupta, B. Goodwine, J. Baras, and S. Wang, “Toward a science of cyber–physical system integration,” Proceedings of the IEEE, vol. 100, no. 1, pp. 29–44, 2011, https://doi.org/10.1109/JPROC.2011.2161529.

[5] O. Bello and S. Zeadally, “Intelligent device-to-device communication in the internet of things,” IEEE Systems Journal, vol. 10, no. 3, pp. 1172–1182, 2014, https://doi.org/10.1109/JSYST.2014.2298837.

[6] G. P. Fettweis, “The tactile internet: Applications and challenges,” IEEE Vehicular Technology Magazine, vol. 9, no. 1, pp. 64–70, 2014, https://doi.org/10.1109/MVT.2013.2295069.

[7] A. W. Al-Dabbagh, “Design of a wireless control system with unreliable nodes and communication links,” IEEE transactions on cybernetics, vol. 49, no. 1, pp. 315–327, 2017, https://doi.org/10.1109/TCYB.2017.2772869.

[8] A. Willig, “Recent and emerging topics in wireless industrial communications: A selection,” IEEE Transactions on industrial informatics, vol. 4, no. 2, pp. 102–124, 2008, https://doi.org/10.1109/TII.2008.923194.

[9] V. C. Gungor and G. P. Hancke, “Industrial wireless sensor networks: Challenges, design principles, and technical approaches,” IEEE Transactions on industrial electronics, vol. 56, no. 10, pp. 4258–4265, 2009, https://doi.org/10.1109/TIE.2009.2015754.

[10] E. Witrant, P. Di Marco, P. Park, and C. Briat, “Limitations and performances of robust control over wsn: Ufad control in intelligent buildings,” IMA Journal of Mathematical Control and Information, vol. 27, no. 4, pp. 527–543, 2010, https://doi.org/10.1093/imamci/dnq017.

[11] ITU, “Technical characteristics and spectrum requirements of wireless avionics intra-communications systems to support their safe operation (itu-r report m. 2283-0),” 2013.

[12] Y. Sadi and S. C. Ergen, “Optimal power control, rate adaptation, and scheduling for uwb-based intravehicular wireless sensor networks,” IEEE Transactions on Vehicular Technology, vol. 62, no. 1, pp. 219–234, 2012, https://doi.org/10.1109/TVT.2012.2217994.

[13] U. Demir and S. C. Ergen, “Arima-based time variation model for beneath the chassis uwb channel,” EURASIP Journal on Wireless Communications and Networking, vol. 2016, no. 1, pp. 1–11, 2016, https://doi.org/10.1186/s13638-016-0676-3.

[14] H. Kagermann, J. Helbig, A. Hellinger, and W. Wahlster, Recommendations for implementing the strategic initiative INDUSTRIE 4.0: Securing the future of German manufacturing industry; final report of the Industrie 4.0 Working Group. Forschungsunion, 2013.

[15] R. Steigman and J. Endresen, “Introduction to wisa and wps, wisa-wireless interface for sensors and actuators and wps-wireless proximity switches,” White paper, 2004.

[16] I. S. of Automation, “Wireless systems for industrial automation: Process control and related applications : Isa-100.11a-2009,” 2009, https://books.google.co.id/books?id=2UTljgEACAAJ.

[17] M. Mazo and P. Tabuada, “Decentralized event-triggered control over wireless sensor/actuator networks,” IEEE Transactions on Automatic Control, vol. 56, no. 10, pp. 2456–2461, 2011, https://doi.org/10.1109/TAC.2011.2164036.

[18] B. Shen, Z. Wang, and H. Shu, “Sampled-data approach to distributed h∞ filtering in sensor networks,” in Nonlinear Stochastic Systems with Incomplete Information, 2013, pp. 155–175, https://doi.org/10.1007/978-1-4471-4914-9_8.

[19] L. Wang, Z. Wang, Q.-L. Han, and G. Wei, “Event-based variance-constrained h∞ filtering for stochastic parameter systems over sensor networks with successive missing measurements,” IEEE transactions on cybernetics, vol. 48, no. 3, pp. 1007–1017, 2017, https://doi.org/10.1109/TCYB.2017.2671032.

[20] C. Hua, L. Zhang, and X. Guan, “Distributed adaptive neural network output tracking of leader-following high-order stochastic nonlinear multiagent systems with unknown dead-zone input,” IEEE transactions on cybernetics, vol. 47, no. 1, pp. 177–185, 2015, https://doi.org/10.1109/TCYB.2015.2509482.

[21] C. Hua, Y. Li, and X. Guan, “Leader-following consensus for high-order nonlinear stochastic multiagent systems,” IEEE transactions on cybernetics, vol. 47, no. 8, pp. 1882–1891, 2017, https://doi.org/10.1109/TCYB.2017.2651019.

[22] Y.-L. Wang, C.-C. Lim, and P. Shi, “Adaptively adjusted event-triggering mechanism on fault detection for networked control systems,” IEEE Transactions on Cybernetics, vol. 47, no. 8, pp. 2299–2311, 2016, https://doi.org/10.1109/TCYB.2016.2631903.

[23] F. De Pellegrini, D. Miorandi, S. Vitturi, and A. Zanella, “On the use of wireless networks at low level of factory automation systems,” IEEE Transactions on Industrial Informatics, vol. 2, no. 2, pp. 129–143, 2006, https://doi.org/10.1109/TII.2006.872960.

[24] D. Kilinc, M. Ozger, and O. B. Akan, “On the maximum coverage area of wireless networked control systems with maximum cost-efficiency under convergence constraint,” IEEE transactions on automatic control, vol. 60, no. 7, pp. 1910–1914, 2014, https://doi.org/10.1109/TAC.2014.2366611.

[25] Y. Sadi, S. C. Ergen, and P. Park, “Minimum energy data transmission for wireless networked control systems,” IEEE Transactions on Wireless Communications, vol. 13, no. 4, pp. 2163–2175, 2014, https://doi.org/10.1109/TWC.2014.0204.131204.

[26] M. Pajic, S. Sundaram, G. J. Pappas, and R. Mangharam, “The wireless control network: A new approach for control over networks,” IEEE transactions on automatic control, vol. 56, no. 10, pp. 2305–2318, 2011, https://doi.org/10.1109/TAC.2011.2163864.

[27] S. Sundaram, M. Pajic, C. N. Hadjicostis, R. Mangharam, and G. J. Pappas, “The wireless control network: Monitoring for malicious behavior,” in 49th IEEE Conference on Decision and Control (CDC), 2010, pp. 5979–5984, https://doi.org/10.1109/CDC.2010.5717166.

[28] M. Pajic, S. Sundaram, G. J. Pappas, and R. Mangharam, “Topological conditions for wireless control networks,” in 2011 50th IEEE Conference on Decision and Control and European Control Conference, 2011, pp. 2353–2360, https://doi.org/10.1109/CDC.2011.6161347.

[29] M. Pajic, R. Mangharam, G. J. Pappas, and S. Sundaram, “Topological conditions for in-network stabilization of dynamical systems,” IEEE Journal on Selected Areas in Communications, vol. 31, no. 4, pp. 794–807, 2013, https://doi.org/10.1109/JSAC.2013.130415.

[30] M. Pajic, S. Sundaram, J. Le Ny, G. J. Pappas, and R. Mangharam, “The wireless control network: Synthesis and robustness,” in 49th IEEE Conference on Decision and Control (CDC), 2010, pp. 7576–7581, https://doi.org/10.1109/CDC.2010.5717159.

[31] M. Pajic, J. Le Ny, S. Sundaram, G. J. Pappas, and R. Mangharam, “Closing the loop: A simple distributed method for control over wireless networks,” in 2012 ACM/IEEE 11th International Conference on Information Processing in Sensor Networks (IPSN), 2012, pp. 25–36, https://doi.org/10.1109/IPSN.2012.6920940.

[32] A. W. Al-Dabbagh and T. Chen, “Modelling and control of wireless networked control systems: A fixed structure approach,” in 2015 IEEE Conference on Control Applications (CCA), 2015, pp. 1051–1056, https://doi.org/10.1109/CCA.2015.7320751.

[33] A. W. Al-Dabbagh and T. Chen, “Design considerations for wireless networked control systems,” IEEE Transactions on Industrial Electronics, vol. 63, no. 9, pp. 5547–5557, 2016, https://doi.org/10.1109/TIE.2016.2564950.

[34] M. S. Mahmoud and Y. Xia, “The interaction between control and computing theories: New approaches,” International Journal of Automation and Computing, vol. 14, no. 3, pp. 254–274, 2017, https://doi.org/10.1007/s11633-017-1070-2.

[35] C. Lu, A. Saifullah, B. Li, M. Sha, H. Gonzalez, D. Gunatilaka, C. Wu, L. Nie, and Y. Chen, “Real-time wireless sensor-actuator networks for industrial cyber-physical systems,” Proceedings of the IEEE, vol. 104, no. 5, pp. 1013–1024, 2015, https://doi.org/10.1109/JPROC.2015.2497161.

[36] C. Pillajo and R. Hincapie, “Stochastic control for a wireless network control system (wncs),” in ´ 2020 IEEE ANDESCON, 2020, pp. 1–6, https://doi.org/10.1109/ANDESCON50619.2020.9272112.

[37] C. Zhang, P. Patras, and H. Haddadi, “Deep learning in mobile and wireless networking: A survey,” IEEE Communications surveys & tutorials, vol. 21, no. 3, pp. 2224–2287, 2019, https://doi.org/10.1109/COMST.2019.2904897.

[38] P. Park, “Modeling, analysis and design of wireless sensor network protocols,” Ph.D. dissertation, KTH Royal Institute of Technology, 2011, https://people.kth.se/∼kallej/grad_students/park_thesis11.pdf.

[39] L. Schenato, B. Sinopoli, M. Franceschetti, K. Poolla, and S. S. Sastry, “Foundations of control and estimation over lossy networks,” Proceedings of the IEEE, vol. 95, no. 1, pp. 163–187, 2007, https://doi.org/10.1109/JPROC.2006.887306.

[40] S.-H. Hwang and S.-Z. Liu, “Survey on 3gpp low power wide area technologies and its application,” in 2019 IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS), 2019, pp. 1–5, https://doi.org/10.1109/VTS-APWCS.2019.8851631.

[41] A. J. Wixted, P. Kinnaird, H. Larijani, A. Tait, A. Ahmadinia, and N. Strachan, “Evaluation of lora and lorawan for wireless sensor networks,” in 2016 IEEE SENSORS, 2016, pp. 1–3, https://doi.org/10.1109/ICSENS.2016.7808712.

[42] J. Marescaux, J. Leroy, M. Gagner, F. Rubino, D. Mutter, M. Vix, S. E. Butner, and M. K. Smith, “Transatlantic robot-assisted telesurgery,” Nature, vol. 413, no. 6854, pp. 379–380, 2001, https://doi.org/10.1038/35096636.

[43] J. Zhang, F.-Y. Wang, K. Wang, W.-H. Lin, X. Xu, and C. Chen, “Data-driven intelligent transportation systems: A survey,” IEEE Transactions on Intelligent Transportation Systems, vol. 12, no. 4, pp. 1624–1639, 2011, https://doi.org/10.1109/TITS.2011.2158001.

[44] X. Yu and Y. Xue, “Smart grids: A cyber–physical systems perspective,” Proceedings of the IEEE, vol. 104, no. 5, pp. 1058–1070, 2016, https://doi.org/10.1109/JPROC.2015.2503119.

[45] K. Ovsthus, L. M. Kristensen et al., “An industrial perspective on wireless sensor networks: a survey of requirements, protocols, and challenges,” IEEE communications surveys & tutorials, vol. 16, no. 3, pp. 1391–1412, 2014, https://doi.org/10.1109/SURV.2014.012114.00058.

[46] Q. Wang and J. Jiang, “Comparative examination on architecture and protocol of industrial wireless sensor network standards,” IEEE Communications Surveys & Tutorials, vol. 18, no. 3, pp. 2197–2219, 2016, https://doi.org/10.1109/COMST.2016.2548360.

[47] C. Lu, A. Saifullah, B. Li, M. Sha, H. Gonzalez, D. Gunatilaka, C. Wu, L. Nie, and Y. Chen, “Real-time wireless sensor-actuator networks for industrial cyber-physical systems,” Proceedings of the IEEE, vol. 104, no. 5, pp. 1013–1024, 2015, https://doi.org/10.1109/JPROC.2015.2497161.

[48] M. S. Mahmoud, “Wireless networked control system design: An overview,” in 2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE), 2014, pp. 2335–2340, https://doi.org/10.1109/ISIE.2014.6864983.

[49] Y. Yang, Y. Wang, and S.-H. Yang, “A networked control system with stochastically varying transmission delay and uncertain process parameters,” IFAC Proceedings Volumes, vol. 38, no. 1, pp. 91–96, 2005, https://doi.org/10.3182/20050703-6-CZ-1902.01057.

[50] J. Colandairaj, G. W. Irwin, and W. G. Scanlon, “Analysis and co-simulation of an ieee 802.11 b wireless networked control system,” IFAC Proceedings Volumes, vol. 38, no. 1, pp. 79–84, 2005, https://doi.org/10.3182/20050703-6-CZ-1902.01055.

[51] Y.-L. Wang and Q.-L. Han, “Modelling and controller design for discrete-time networked control systems with limited channels and data drift,” Information Sciences, vol. 269, pp. 332–348, 2014, https://doi.org/10.1016/j.ins.2013.12.041.

[52] N. J. Ploplys, “Wireless feedback control of mechanical systems,” Master’s thesis, Department of Mechanical Engineering, University of Illinois, 2003.

[53] T. C. Yang, “Networked control system: a brief survey,” IEE Proceedings-Control Theory and Applications, vol. 153, no. 4, pp. 403–412, 2006, https://doi.org/10.1049/ip-cta:20050178.

[54] L. Zhang, Y. Shi, T. Chen, and B. Huang, “A new method for stabilization of networked control systems with random delays,” IEEE Transactions on automatic control, vol. 50, no. 8, pp. 1177–1181, 2005, https://doi.org/10.1109/TAC.2005.852550.

[55] Y. Shi and B. Yu, “Robust mixed h2/h∞ control of networked control systems with random time delays in both forward and backward communication links,” Automatica, vol. 47, no. 4, pp. 754–760, 2011, https://doi.org/10.1016/j.automatica.2011.01.022.

[56] H. Zhang, Y. Shi, and A. S. Mehr, “Robust static output feedback control and remote pid design for networked motor systems,” IEEE Transactions on Industrial Electronics, vol. 58, no. 12, pp. 5396–5405, 2011, https://doi.org/10.1109/TIE.2011.2107720.

[57] H. Zhang, Y. Shi, and A. S. Mehr, “Robust h∞ pid control for multivariable networked control systems with disturbance/noise attenuation,” International Journal of Robust and Nonlinear Control, vol. 22, no. 2, pp. 183–204, 2012, https://doi.org/10.1002/rnc.1688.

[58] Y. Tipsuwan and M.-Y. Chow, “Control methodologies in networked control systems,” Control engineering practice, vol. 11, no. 10, pp. 1099–1111, 2003, https://doi.org/10.1016/S0967-0661(03)00036-4.

[59] M. S. Mahmoud and M. M. H. Hamid, “Self-tuning control for mimo network systems,” Journal of Signal and Information Processing, vol. 3, no. 2, pp. 154–160, 2012, http://dx.doi.org/10.4236/jsip.2012.32020.

[60] B. Liu, Y. Xia, M. S. Mahmoud, H. Wu, and S. Cui, “New predictive control scheme for networked control systems,” Circuits, Systems, and Signal Processing, vol. 31, no. 3, pp. 945–960, 2012, https://doi.org/10.1007/s00034-011-9359-9.

[61] M. S. Mahmoud, “Improved networked-control systems approach with communication constraint,” IMA Journal of Mathematical Control and Information, vol. 29, no. 2, pp. 215–233, 2012, https://doi.org/10.1093/imamci/dnr039.

[62] M. Mahmoud, S. Selim, P. Shi, and M. Baig, “New results on networked control systems with nonstationary packet dropouts,” IET Control Theory & Applications, vol. 6, no. 15, pp. 2442–2452, 2012, https://doi.org/10.1049/iet-cta.2012.0487.

[63] J. Wang, “A scheduling algorithm based on communication delay for wireless network control system,” Research Journal of Applied Sciences, Engineering and Technology, vol. 4, no. 20, pp. 3891–3895, 2012, https://www.airitilibrary.com/Publication/alDetailedMesh?docid=20407467-201210-201512080010-201512080010-3891-3895.

[64] M. M. Delbari, M. T. H. Beheshti, A. Ramezani, and S. Ozgoli, “Time delay sensitivity analysis in a wireless network control system using lmi approach,” in 2013 9th Asian Control Conference (ASCC), 2013, pp. 1–4, https://doi.org/10.1109/ASCC.2013.6606277.

[65] P. Guo, J. Zhang, H. R. Karimi, Y. Liu, M. Lyu, and Y. Bo, “State estimation for wireless network control system with stochastic uncertainty and time delay based on sliding mode observer,” Abstract and Applied Analysis, vol. 2014, 2014, https://doi.org/10.1155/2014/303840.

[66] J. Ma, F. Pan, L. Zhou, W. Zhou, and Z. Wang, “Modelling and stabilization of a wireless network control system with time delay,” Transactions of the Institute of Measurement and Control, vol. 40, no. 2, pp. 640–646, 2018, https://doi.org/10.1177%2F0142331216663619.

[67] W. Zhang, M. S. Branicky, and S. M. Phillips, “Stability of networked control systems,” IEEE control systems magazine, vol. 21, no. 1, pp. 84–99, 2001, https://doi.org/10.1109/37.898794.

[68] N. J. Ploplys, P. A. Kawka, and A. G. Alleyne, “Closed-loop control over wireless networks,” IEEE Control Systems Magazine, vol. 24, no. 3, pp. 58–71, 2004, https://doi.org/10.1109/MCS.2004.1299533.

[69] M. S. Mahmoud and M. M. Hamdan, “Fundamental issues in networked control systems,” IEEE/CAA Journal of Automatica Sinica, vol. 5, no. 5, pp. 902–922, 2018, https://doi.org/10.1109/JAS.2018.7511162.

[70] P. Guo, J. Zhang, M. Lv, and Y. Bo, “Fault detection for wireless network control system with multiple time delay and packet loss,” in Proceedings of the 33rd Chinese Control Conference, 2014, pp. 3012–3017, https://doi.org/10.1109/ChiCC.2014.6897121.

[71] D. Zhang, P. Shi, Q.-G. Wang, and L. Yu, “Analysis and synthesis of networked control systems: A survey of recent advances and challenges,” ISA transactions, vol. 66, pp. 376–392, 2017, https://doi.org/10.1016/j.isatra.2016.09.026.

[72] Q. Liu, Z. Wang, and X. He, “Feedback stabilization of networked systems over fading channels,” in Stochastic Control and Filtering over Constrained Communication Networks, 2019, pp. 23–35, https://doi.org/10.1007/978-3-030-00157-5_2.

[73] S. Zhang, Z. Wang, D. Ding, and H. Shu, “h∞ fuzzy control with randomly occurring infinite distributed delays and channel fadings,” IEEE Transactions on Fuzzy Systems, vol. 22, no. 1, pp. 189–200, 2013, https://doi.org/10.1109/TFUZZ.2013.2249587.

[74] D. Ding, Z. Wang, B. Shen, and H. Dong, “Envelope-constrained h∞ filtering with fading measurements and randomly occurring nonlinearities: the finite horizon case,” Automatica, vol. 55, pp. 37–45, 2015, https://doi.org/10.1016/j.automatica.2015.02.024.

[75] S. Zhang, Z. Wang, D. Ding, and H. Shu, “h∞ output-feedback control with randomly occurring distributed delays and nonlinearities subject to sensor saturations and channel fadings,” Journal of the Franklin Institute, vol. 351, no. 8, pp. 4124–4141, 2014, https://doi.org/10.1016/j.jfranklin.2014.04.011.

[76] W. Ren, N. Hou, Q. Wang, Y. Lu, and X. Liu, “Non-fragile h∞ filtering for nonlinear systems with randomly occurring gain variations and channel fadings,” Neurocomputing, vol. 156, pp. 176–185, 2015, https://doi.org/10.1016/j.neucom.2014.12.065.

[77] S. Cai and V. K. Lau, “Mse tail analysis for remote state estimation of linear systems over multiantenna random access channels,” IEEE Transactions on Automatic Control, vol. 65, no. 5, pp. 2046–2061, 2019, https://doi.org/10.1109/TAC.2019.2937797.

[78] Y. Zhu, F. Yang, C. Li, and Q.-L. Han, “Simultaneous h∞ stabilization for large-scale systems within distributed wireless networked control framework over fading channels,” Journal of the Franklin Institute, vol. 355, no. 6, pp. 3010–3030, 2018, https://doi.org/10.1016/j.jfranklin.2018.02.016.

[79] J. P. Hespanha, P. Naghshtabrizi, and Y. Xu, “A survey of recent results in networked control systems,” Proceedings of the IEEE, vol. 95, no. 1, pp. 138–162, 2007, https://doi.org/10.1109/JPROC.2006.887288.

[80] F. A. Al-Nasser and M. S. Mahmoud, “Wireless sensors network application: a decentralized approach for traffic control and management,” Wireless Sensor Networks: Technology and Applications, pp. 347–374, 2012, https://doi.org/10.5772/48212.

[81] N. W. Bauer, S. B. Van Loon, N. Van De Wouw, and W. M. Heemels, “Exploring the boundaries of robust stability under uncertain communication: An ncs toolbox applied to a wireless control setup,” IEEE Control Systems Magazine, vol. 34, no. 4, pp. 65–86, 2014, https://doi.org/10.1109/MCS.2014.2320394.

[82] A. H. Herranz, “Wireless inverted pendulum using ieee 802.15. 4 protocol,” Master’s Degree Project, California Institute of Technology, KTH Royal Institute of Technology, Stockholm, Sweden, 2011, http://hdl.handle.net/2099.1/12265.

[83] M. De Biasi, C. Snickars, K. Landernas, and A. J. Isaksson, “Simulation of process control with wirelesshart networks subject to packet losses,” in 2008 IEEE International conference on automation science and engineering, 2008, pp. 548–553, https://doi.org/10.1109/COASE.2008.4626509.

[84] M. Bjorkbom et al., “Wireless control system simulation and network adaptive control,” 2010, http://urn.fi/URN:ISBN:978-952-60-3461-4.

[85] M. S. Branicky, V. Liberatore, and S. M. Phillips, “Networked control system co-simulation for codesign,” in Proceedings of the 2003 American Control Conference, 2003., vol. 4, 2003, pp. 3341–3346, https://doi.org/10.1109/ACC.2003.1244047.

[86] P. Park, J. Araujo, and K. H. Johansson, “Wireless networked control system co-design,” in ´ 2011 International Conference on Networking, Sensing and Control, 2011, pp. 486–491, https://doi.org/10.1109/ICNSC.2011.5874926.

[87] A. W. Al-Dabbagh and T. Chen, “Design considerations for wireless networked control systems,” IEEE Transactions on Industrial Electronics, vol. 63, no. 9, pp. 5547–5557, 2016, https://doi.org/10.1109/TIE.2016.2564950.

[88] M. Rabi, L. Stabellini, A. Proutiere, and M. Johansson, “Networked estimation under contention-based medium access,” International Journal of Robust and Nonlinear Control: IFAC-Affiliated Journal, vol. 20, no. 2, pp. 140–155, 2010, https://doi.org/10.1002/rnc.1459.

[89] Y. Sadi and S. C. Ergen, “Energy and delay constrained maximum adaptive schedule for wireless networked control systems,” IEEE Transactions on Wireless Communications, vol. 14, no. 7, pp. 3738–3751, 2015, https://doi.org/10.1109/TWC.2015.2411602.

[90] Y. Sadi and S. C. Ergen, “Joint optimization of communication and controller components of wireless networked control systems,” in 2015 IEEE International Conference on Communications (ICC), 2015, pp. 6487–6493, https://doi.org/10.1109/ICC.2015.7249358.

[91] P. Park, P. Di Marco, and K. H. Johansson, “Cross-layer optimization for industrial control applications using wireless sensor and actuator mesh networks,” IEEE Transactions on Industrial Electronics, vol. 64, no. 4, pp. 3250–3259, 2016, https://doi.org/10.1109/TIE.2016.2631530.

[92] A. Saifullah, C. Wu, P. B. Tiwari, Y. Xu, Y. Fu, C. Lu, and Y. Chen, “Near optimal rate selection for wireless control systems,” ACM Transactions on Embedded Computing Systems (TECS), vol. 13, no. 4s, pp. 1–25, 2014, https://doi.org/10.1145/2584652.

[93] A. Saifullah, Y. Xu, C. Lu, and Y. Chen, “End-to-end communication delay analysis in industrial wireless networks,” IEEE Transactions on Computers, vol. 64, no. 5, pp. 1361–1374, 2014, https://doi.org/10.1109/TC.2014.2322609.

[94] M. Rabi and K. H. Johansson, “Scheduling packets for event-triggered control,” in 2009 European Control Conference (ECC), 2009, pp. 3779–3784, https://doi.org/10.23919/ECC.2009.7074988.

[95] M. Vilgelm, M. H. Mamduhi, W. Kellerer, and S. Hirche, “Adaptive decentralized mac for event-triggered networked control systems,” in Proceedings of the 19th International Conference on Hybrid Systems: Computation and Control, 2016, pp. 165–174, https://doi.org/10.1145/2883817.2883829.

[96] M. H. Mamduhi, D. Tolic, A. Molin, and S. Hirche, “Event-triggered scheduling for stochastic multi- loop networked control systems with packet dropouts,” in 53rd IEEE Conference on Decision and Control, 2014, pp. 2776–2782, https://doi.org/10.1109/CDC.2014.7039815.

[97] A. Molin and S. Hirche, “Price-based adaptive scheduling in multi-loop control systems with resource constraints,” IEEE Transactions on Automatic Control, vol. 59, no. 12, pp. 3282–3295, 2014, https://doi.org/10.1109/TAC.2014.2351892.

[98] B. Demirel, V. Gupta, and M. Johansson, “On the trade-off between control performance and communication cost for event-triggered control over lossy networks,” in 2013 European Control Conference (ECC), 2013, pp. 1168–1174, https://doi.org/10.23919/ECC.2013.6669798.

[99] X. Cao, P. Cheng, J. Chen, and Y. Sun, “An online optimization approach for control and communication codesign in networked cyber-physical systems,” IEEE Transactions on Industrial Informatics, vol. 9, no. 1, pp. 439–450, 2012, https://doi.org/10.1109/TII.2012.2216537.

[100] U. Tiberi, C. Fischione, K. H. Johansson, and M. D. Di Benedetto, “Energy-efficient sampling of networked control systems over ieee 802.15. 4 wireless networks,” Automatica, vol. 49, no. 3, pp. 712–724, 2013, https://doi.org/10.1016/j.automatica.2012.11.046.

[101] P. Park, P. Di Marco, C. Fischione, and K. H. Johansson, “Modeling and optimization of the ieee 802.15. 4 protocol for reliable and timely communications,” IEEE Transactions on Parallel and Distributed Systems, vol. 24, no. 3, pp. 550–564, 2012, https://doi.org/10.1109/TPDS.2012.159.

[102] G. Tian, S. Camtepe, and Y.-C. Tian, “A deadline-constrained 802.11 mac protocol with qos differentiation for soft real-time control,” IEEE Transactions on Industrial Informatics, vol. 12, no. 2, pp. 544–554, 2016, https://doi.org/10.1109/TII.2016.2520398.

[103] G. Cena, I. C. Bertolotti, A. Valenzano, and C. Zunino, “Evaluation of response times in industrial wlans,” IEEE transactions on industrial Informatics, vol. 3, no. 3, pp. 191–201, 2007, https://doi.org/10.1109/TII.2007.903219.

[104] L. Seno, G. Cena, S. Scanzio, A. Valenzano, and C. Zunino, “Enhancing communication determinism in wi-fi networks for soft real-time industrial applications,” IEEE Transactions on Industrial Informatics, vol. 13, no. 2, pp. 866–876, 2016, https://doi.org/10.1109/TII.2016.2641468.

[105] Y.-H. Wei, Q. Leng, S. Han, A. K. Mok, W. Zhang, and M. Tomizuka, “Rt-wifi: Real-time high-speed communication protocol for wireless cyber-physical control applications,” in 2013 IEEE 34th Real-Time Systems Symposium, 2013, pp. 140–149, https://doi.org/10.1109/RTSS.2013.22.

[106] R. Moraes, F. Vasques, and P. Portugal, “A tdma-based mechanism to enforce real-time behavior in wifi networks,” in 2008 IEEE International Workshop on Factory Communication Systems, 2008, pp. 109–112, https://doi.org/10.1109/WFCS.2008.4638758.

[107] G. Boggia, P. Camarda, L. Grieco, and G. Zacheo, “Toward wireless networked control systems: An experimental study on real-time communications in 802.11 wlans,” in 2008 IEEE International Workshop on Factory Communication Systems, 2008, pp. 149–155, https://doi.org/10.1109/WFCS.2008.4638711.

[108] F. Tramarin, S. Vitturi, M. Luvisotto, and A. Zanella, “On the use of ieee 802.11 n for industrial communications,” IEEE Transactions on Industrial Informatics, vol. 12, no. 5, pp. 1877–1886, 2015, https://doi.org/10.1109/TII.2015.2504872.

[109] S. C. Ergen and P. Varaiya, “Tdma scheduling algorithms for wireless sensor networks,” Wireless networks, vol. 16, no. 4, pp. 985–997, 2010, https://doi.org/10.1007/s11276-009-0183-0.

[110] M. Yan, K.-Y. Lam, S. Han, E. Chan, Q. Chen, P. Fan, D. Chen, and M. Nixon, “Hypergraph-based data link layer scheduling for reliable packet delivery in wireless sensing and control networks with end-to-end delay constraints,” Information Sciences, vol. 278, pp. 34–55, 2014, https://doi.org/10.1016/j.ins.2014.02.006.

[111] F. Dobslaw, T. Zhang, and M. Gidlund, “End-to-end reliability-aware scheduling for wireless sensor networks,” IEEE Transactions on Industrial Informatics, vol. 12, no. 2, pp. 758–767, 2014, https://doi.org/10.1109/TII.2014.2382335.

[112] F. Barac, M. Gidlund, and T. Zhang, “Preed: Packet recovery by exploiting the determinism in industrial wsn communication,” in 2015 International Conference on Distributed Computing in Sensor Systems, 2015, pp. 81–90, https://doi.org/10.1109/DCOSS.2015.8.

[113] K. Jamieson and H. Balakrishnan, “Ppr: Partial packet recovery for wireless networks,” ACM SIGCOMM Computer Communication Review, vol. 37, no. 4, pp. 409–420, 2007, https://doi.org/10.1145/1282427.1282426.

[114] J.-H. Hauer, A. Willig, and A. Wolisz, “Mitigating the effects of rf interference through rssi-based error recovery,” in European Conference on Wireless Sensor Networks, 2010, pp. 224–239, https://doi.org/10.1007/978-3-642-11917-0_15.

[115] D. Ganesan, R. Govindan, S. Shenker, and D. Estrin, “Highly-resilient, energy-efficient multipath routing in wireless sensor networks,” ACM SIGMOBILE Mobile Computing and Communications Review, vol. 5, no. 4, pp. 11–25, 2001, https://doi.org/10.1145/509506.509514.

[116] M. K. Marina and S. R. Das, “On-demand multipath distance vector routing in ad hoc networks,” in Proceedings ninth international conference on network protocols. ICNP 2001, 2001, pp. 14–23, https://doi.org/10.1109/ICNP.2001.992756.

[117] Z. Jindong, L. Zhenjun, and Z. Yaopei, “Elhfr: A graph routing in industrial wireless mesh network,” in 2009 International Conference on Information and Automation, 2009, pp. 106–110, https://doi.org/10.1109/ICINFA.2009.5204902.

[118] C. Wu, D. Gunatilaka, A. Saifullah, M. Sha, P. B. Tiwari, C. Lu, and Y. Chen, “Maximizing network lifetime of wirelesshart networks under graph routing,” in 2016 IEEE First International Conference on Internet-of-Things Design and Implementation (IoTDI), 2016, pp. 176–186, https://doi.org/10.1109/IoTDI.2015.43.

[119] K. Yu, Z. Pang, M. Gidlund, J. Akerberg, and M. Bjorkman, “Realflow: Reliable real-time flooding-based routing protocol for industrial wireless sensor networks,” International Journal of Distributed Sensor Networks, vol. 10, no. 7, p. 936379, 2014, https://doi.org/10.1155%2F2014%2F936379.

[120] K. Yu, M. Gidlund, J. Akerberg, and M. Bjorkman, “Reliable rss-based routing protocol for industrial wireless sensor networks,” in IECON 2012-38th Annual Conference on IEEE Industrial Electronics Society, 2012, pp. 3231–3237, https://doi.org/10.1109/IECON.2012.6389380.

[121] Y. Li, C. S. Chen, Y.-Q. Song, Z. Wang, and Y. Sun, “Enhancing real-time delivery in wireless sensor networks with two-hop information,” IEEE Transactions on industrial informatics, vol. 5, no. 2, pp. 113–122, 2009, https://doi.org/10.1109/TII.2009.2017938.

[122] P. T. A. Quang and D.-S. Kim, “Enhancing real-time delivery of gradient routing for industrial wireless sensor networks,” IEEE Transactions on Industrial Informatics, vol. 8, no. 1, pp. 61–68, 2011, https://doi.org/10.1109/TII.2011.2174249.

[123] A. Willig, K. Matheus, and A. Wolisz, “Wireless technology in industrial networks,” Proceedings of the IEEE, vol. 93, no. 6, pp. 1130–1151, 2005, https://doi.org/10.1109/JPROC.2005.849717.

[124] M. Drew, X. Liu, A. Goldsmith, and K. Hedrick, “Networked control system design over a wireless lan,” in Proceedings of the 44th IEEE Conference on Decision and Control, 2005, pp. 6704–6709, https://doi.org/10.1109/CDC.2005.1583239.

[125] F. De Pellegrini, D. Miorandi, S. Vitturi, and A. Zanella, “On the use of wireless networks at low level of factory automation systems,” IEEE Transactions on Industrial Informatics, vol. 2, no. 2, pp. 129–143, 2006, https://doi.org/10.1109/TII.2006.872960.

[126] I. F. Akyildiz and I. H. Kasimoglu, “Wireless sensor and actor networks: research challenges,” Ad hoc networks, vol. 2, no. 4, pp. 351–367, 2004, https://doi.org/10.1016/j.adhoc.2004.04.003.

[127] M. Hasan, H. Yu, and A. Griffiths, “Overview of wireless networked control systems over mobile ad-hoc network,” 2008, http://eprints.staffs.ac.uk/866/.

[128] M. Bjorkbom, S. Nethi, L. M. Eriksson, and R. Jantti, “Wireless control system design and co-simulation,” Control Engineering Practice, vol. 19, no. 9, pp. 1075–1086, 2011, https://doi.org/10.1016/j.conengprac.2011.05.012.

[129] D.-S. Kim, J. Jeon, and P. Mohapatra, “Scheduling of wireless control networks based on ieee 802.15. 4 networks: Mixed traffic environment,” Control Engineering Practice, vol. 19, no. 10, pp. 1223–1230, 2011, https://doi.org/10.1016/j.conengprac.2011.06.013.

[130] T. D. Lagkas, L. Georgiadis, and P. Angelidis, Adaptive Control in Wireless Networks. INTECH Open Access Publisher, 2009, https://doi.org/10.5772/6436.

[131] K. Huang, W. Liu, Y. Li, B. Vucetic, and A. Savkin, “Optimal downlink–uplink scheduling of wireless networked control for industrial iot,” IEEE Internet of Things Journal, vol. 7, no. 3, pp. 1756–1772, 2019, https://doi.org/10.1109/JIOT.2019.2946878.

[132] W. Al-Azzawi and M. Al-Akaidi, “Robust stability of solar-power wireless network control system with stochastic time delays based on h∞-norm,” International Journal of Systems Science, vol. 46, no. 5, pp. 896–907, 2015, https://doi.org/10.1080/00207721.2013.801092.

[133] V. K. Lau, S. Cai, and M. Yu, “Decentralized state-driven multiple access and information fusion of mission-critical iot sensors for 5g wireless networks,” IEEE Journal on Selected Areas in Communications, vol. 38, no. 5, pp. 869–884, 2020, https://doi.org/10.1109/JSAC.2020.2980914.

[134] A. S. Leong, S. Dey, and D. E. Quevedo, “Sensor scheduling in variance based event triggered estimation with packet drops,” IEEE Transactions on Automatic Control, vol. 62, no. 4, pp. 1880–1895, 2016, https://doi.org/10.1109/TAC.2016.2602499.

[135] E. Guizzo, “Three engineers, hundreds of robots, one warehouse,” IEEE spectrum, vol. 45, no. 7, pp. 26–34, 2008, https://doi.org/10.1109/MSPEC.2008.4547508.

[136] J. Ruiz-del Solar, E. Chown, and P. G. Ploger, RoboCup 2010: Robot Soccer World Cup XIV. Springer Science & Business Media, 2011, vol. 6556, https://doi.org/10.1007/978-3-642-20217-9.

[137] X. C. Ding, M. Powers, M. Egerstedt, S.-Y. Young, and T. Balch, “Executive decision support,” IEEE Robotics & Automation Magazine, vol. 16, no. 2, pp. 73–81, 2009, https://doi.org/10.1109/MRA.2009.932526.

[138] S. Oncu, J. Ploeg, N. Van de Wouw, and H. Nijmeijer, “Cooperative adaptive cruise control: Network-aware analysis of string stability,” IEEE Transactions on Intelligent Transportation Systems, vol. 15, no. 4, pp. 1527–1537, 2014, https://doi.org/10.1109/TITS.2014.2302816.

[139] S. Oncu, N. Van de Wouw, W. M. H. Heemels, and H. Nijmeijer, “String stability of interconnected vehicles under communication constraints,” in 2012 IEEE 51st IEEE conference on decision and control (cdc), 2012, pp. 2459–2464, https://doi.org/10.1109/CDC.2012.6426042.

[140] K. E. Johnson and N. Thomas, “Wind farm control: Addressing the aerodynamic interaction among wind turbines,” in 2009 American Control Conference, 2009, pp. 2104–2109, https://doi.org/10.1109/ACC.2009.5160152.

[141] J. R. Moyne and D. M. Tilbury, “The emergence of industrial control networks for manufacturing control, diagnostics, and safety data,” Proceedings of the IEEE, vol. 95, no. 1, pp. 29–47, 2007, https://doi.org/10.1109/JPROC.2006.887325.

[142] G. Cembrano, G. Wells, J. Quevedo, R. Perez, and R. Argelaguet, “Optimal control of a water distribution network in a supervisory control system,” Control engineering practice, vol. 8, no. 10, pp. 1177–1188, 2000, https://doi.org/10.1016/S0967-0661(00)00058-7.

[143] F. Blaabjerg, R. Teodorescu, M. Liserre, and A. V. Timbus, “Overview of control and grid synchronization for distributed power generation systems,” IEEE Transactions on industrial electronics, vol. 53, no. 5, pp. 1398–1409, 2006, https://doi.org/10.1109/TIE.2006.881997.

[144] U. Fechner and R. Schmehl, “Design of a distributed kite power control system,” in 2012 IEEE International Conference on Control Applications, 2012, pp. 800–805, https://doi.org/10.1109/CCA.2012.6402695.

[145] A. Ilzhofer, B. Houska, and M. Diehl, “Nonlinear mpc of kites under varying wind conditions for a new class of large-scale wind power generators,” International Journal of Robust and Nonlinear Control: IFAC-Affiliated Journal, vol. 17, no. 17, pp. 1590–1599, 2007, https://doi.org/10.1002/rnc.1210.

[146] S. C. Ergen, A. Sangiovanni-Vincentelli, X. Sun, R. Tebano, S. Alalusi, G. Audisio, and M. Sabatini, “The tire as an intelligent sensor,” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 28, no. 7, pp. 941–955, 2009, https://doi.org/10.1109/TCAD.2009.2022879.

[147] S. Velupillai and L. Guvenc, “Tire pressure monitoring [applications of control],” IEEE Control systems magazine, vol. 27, no. 6, pp. 22–25, 2007, https://doi.org/10.1109/MCS.2007.909477.

[148] O. Elgezabal Gomez, “Fly-by-wireless: Benefits, risks and technical challenges,” in CANEUS Fly by Wireless Workshop 2010, 2010, https://doi.org/10.1109/FBW.2010.5613788.

[149] A. Aswani, N. Master, J. Taneja, D. Culler, and C. Tomlin, “Reducing transient and steady state electricity consumption in hvac using learning-based model-predictive control,” Proceedings of the IEEE, vol. 100, no. 1, pp. 240–253, 2011, https://doi.org/10.1109/JPROC.2011.2161242.

[150] J. Chen, X. Cao, P. Cheng, Y. Xiao, and Y. Sun, “Distributed collaborative control for industrial automation with wireless sensor and actuator networks,” IEEE Transactions on Industrial Electronics, vol. 57, no. 12, pp. 4219–4230, 2010, https://doi.org/10.1109/TIE.2010.2043038.

[151] K. Pister, P. Thubert, S. Dwars, and T. Phinney, “Industrial routing requirements in low-power and lossy networks,” 2009, https://www.rfc-editor.org/info/rfc5673.

[152] J. Blaney, “Wireless proves its value: smart wireless field devices provide useful data from remote, hard-to-reach locations,” Power engineering, vol. 113, no. 2, pp. 38–41, 2009.

[153] R. Bayindir and Y. Cetinceviz, “A water pumping control system with a programmable logic controller (plc) and industrial wireless modules for industrial plants–an experimental setup,” ISA transactions, vol. 50, no. 2, pp. 321–328, 2011, https://doi.org/10.1016/j.isatra.2010.10.006.

[154] M. S. Mahmoud, M. M. Hamdan, and U. A. Baroudi, “Modeling and control of cyber-physical systems subject to cyber attacks: A survey of recent advances and challenges,” Neurocomputing, vol. 338, pp. 101–115, 2019, https://doi.org/10.1016/j.neucom.2019.01.099.

[155] S. Periyanayagi, V. Sumathy, and R. Kulandaivel, “A defense technique for jamming attacks in wireless sensor networks based on si,” in 2011 International Conference on Process Automation, Control and Computing, 2011, pp. 1–5, https://doi.org/10.1109/PACC.2011.5978933.

[156] S. Shamshirband, A. Patel, N. B. Anuar, M. L. M. Kiah, and A. Abraham, “Cooperative game theoretic approach using fuzzy q-learning for detecting and preventing intrusions in wireless sensor networks,” Engineering Applications of Artificial Intelligence, vol. 32, pp. 228–241, 2014, https://doi.org/10.1016/j.engappai.2014.02.001.

[157] P. Munoz, R. Barco, and I. de la Bandera, “Optimization of load balancing using fuzzy q-learning for next generation wireless networks,” Expert systems with applications, vol. 40, no. 4, pp. 984–994, 2013, https://doi.org/10.1016/j.eswa.2012.08.071.

[158] S. Shamshirband, N. B. Anuar, M. L. M. Kiah, and A. Patel, “An appraisal and design of a multi-agent system based cooperative wireless intrusion detection computational intelligence technique,” Engineering Applications of Artificial Intelligence, vol. 26, no. 9, pp. 2105–2127, 2013, https://doi.org/10.1016/j.engappai.2013.04.010.

[159] S. Varshney and R. Kuma, “Variants of leach routing protocol in wsn: A comparative analysis,” in 2018 8th International conference on cloud computing, data science & engineering (confluence), 2018, pp. 199–204, https://doi.org/10.1109/CONFLUENCE.2018.8442643.

[160] T. T. Nguyen and V. J. Reddi, “Deep reinforcement learning for cyber security,” IEEE Transactions on Neural Networks and Learning Systems, pp. 1–17, 2021, https://doi.org/10.1109/TNNLS.2021.3121870.

[161] H. Zhang, P. Cheng, L. Shi, and J. Chen, “Optimal dos attack scheduling in wireless networked control system,” IEEE Transactions on Control Systems Technology, vol. 24, no. 3, pp. 843–852, 2015, https://doi.org/10.1109/TCST.2015.2462741.

[162] H. Song, P. Shi, C.-C. Lim, W.-A. Zhang, and L. Yu, “Attack and estimator design for multi-sensor systems with undetectable adversary,” Automatica, vol. 109, p. 108545, 2019, https://doi.org/10.1016/j.automatica.2019.108545.

[163] N. Cao, P. Liu, G. Li, C. Zhang, S. Cao, G. Cao, M. Yan, and B. B. Gupta, “Evaluation models for the nearest closer routing protocol in wireless sensor networks,” IEEE Access, vol. 6, pp. 77 043–77 054, 2018, https://doi.org/10.1109/ACCESS.2018.2825441.

[164] L. Zhao, Y. Li, Y. Yuan, and H. Yuan, “Optimal power allocation for multiple dos attackers in wireless networked control systems,” ISA transactions, vol. 104, pp. 204–211, 2020, https://doi.org/10.1016/j.isatra.2019.01.006.

[165] X. Cao and C. Sun, “Probabilistic denial of service attack against remote state estimation over a Markov channel in cyber-physical systems,” in 2017 11th Asian Control Conference (ASCC), 2017, pp. 946–951, https://doi.org/10.1109/ASCC.2017.8287298.

[166] Z. Ai, L. Peng, and M. Cao, “Optimal attack schedule for two sensors state estimation under jamming attack,” IEEE Access, vol. 7, pp. 75 741–75 748, 2019, https://doi.org/10.1109/ACCESS.2019.2922272.

[167] L. Yang and C. Wen, “Optimal jamming attack system against remote state estimation in wireless network control systems,” IEEE Access, vol. 9, pp. 51 679–51 688, 2020, https://doi.org/10.1109/ACCESS.2020.3046483.

[168] M. Dibaei, X. Zheng, K. Jiang, S. Maric, R. Abbas, S. Liu, Y. Zhang, Y. Deng, S. Wen, J. Zhang et al., “An overview of attacks and defences on intelligent connected vehicles,” arXiv preprint arXiv:1907.07455, 2019, https://arxiv.org/abs/1907.07455.


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