Skip to main content

Abstract

In this chapter, the research background on the communication-protocol-based synthesis and analysis problems of networked systems is introduced. In networked systems, the signal transmissions among different system components are implemented via the network-based communication technique, under which some special transmission agreements (namely, the communication protocols) are employed to orchestrate the transmission order of network nodes. The employment of communication protocols would give rise to certain complex yet important impact on the system performance. With respect to such communication-protocol-induced effects, the developments on communication-protocol-based filtering and control problems for different networked systems are systematically reviewed. Then, the outline of this book is listed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 119.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 159.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 159.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Liu, L., Ma, L., Zhang, J., Bo, Y.: Distributed non-fragile set-membership filtering for nonlinear systems under fading channels and bias injection attacks. Int. J. Syst. Sci. 52(6), 1192–1205 (2021)

    Article  MathSciNet  MATH  Google Scholar 

  2. Hu, J., Zhang, H., Liu, H., Yu, X.: A survey on sliding mode control for networked control systems. Int. J. Syst. Sci. 52(6), 1129–1147 (2021)

    Article  MathSciNet  MATH  Google Scholar 

  3. Zhang, L., Nguang, S.K., Quyang, D., Yan, S.: Synchronization of delayed neural networks via integral-based event-triggered scheme. IEEE Tans. Neural Netw. Learn. Syst. 31(12), 5092–5102 (2020)

    Article  MathSciNet  Google Scholar 

  4. Xu, Y., Wu, Z.-G., Pan, Y.-J.: Event-based dissipative filtering of Markovian jump neural networks subject to incomplete measurements and stochastic cyber-attacks. IEEE Trans. Cybern. 51(3), 1370–1379 (2021)

    Article  Google Scholar 

  5. Leong, A.S., Quevedo, D.E.: Kalman filtering with relays over wireless fading channels. IEEE Trans. Autom. Control 61(6), 1643–1648 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  6. Caballero-Águila, R., Hermoso-Carazo, A., Linares-Pérez, J.: Distributed fusion filters from uncertain measured outputs in sensor networks with random packet losses. Inf. Fusion 34, 70–79 (2017)

    Article  MATH  Google Scholar 

  7. Heemels, W.P.M.H., Donkers, M.C.F., Teel, A.R.: Periodic event-triggered control for linear systems. IEEE Trans. Autom. Control 58(4), 847–861 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  8. Cheng, P., Qi, Y., Xin, K., Chen, J., Xie, L.: Energy-efficient data forwarding for state estimation in multi-hop wireless sensor networks. IEEE Trans. Autom. Control 61(5), 1322–1327 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  9. Hu, J., Liang, J., Chen, D., Ji, D., Du, J.: A recursive approach to non-fragile filtering for networked systems with stochastic uncertainties and incomplete measurements. J. Frankl. Inst. 352(5), 1946–1962 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  10. Li, Y., Liu, S., Zhao, D., Shi, X., Cui, Y.: Event-triggered fault estimation for discrete time-varying systems subject to sector-bounded nonlinearity: a Krein space based approach. Int. J. Robust Nonlinear Control 31(11), 5360–5380 (2021)

    Article  MathSciNet  Google Scholar 

  11. Peng, C., Yang, T.C.: Event-triggered communication and \( {\mathscr{H}}_{\infty }\) control co-design for networked control systems. Automatica 49(5), 1326–1332 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  12. Peng, C., Han, Q.-L.: On designing a novel self-triggered sampling scheme for networked control systems with data losses and communication delays. IEEE Trans. Ind. Electron. 63(2), 1239–1248 (2016)

    Article  Google Scholar 

  13. Wang, Y.-W., Zhang, W.-A., Dong, H., Zhu, J.-W.: Generalized extended state observer based control for networked interconnected systems with delays. Asian J. Control 20(3), 1253–1262 (2018)

    Article  MathSciNet  MATH  Google Scholar 

  14. Li, T., Zhang, W.-A., Yu, L.: Improved switched system approach to networked control systems with time-varying delays. IEEE Trans. Control Syst. Technol. 27(6), 2711–2717 (2019)

    Article  Google Scholar 

  15. Han, H., Zhang, X., Zhang, W.: Robust distributed model predictive control under actuator saturations and packet dropouts with time-varying probabilities. IET Control Theory Appl. 10(5), 534–544 (2016)

    Article  MathSciNet  Google Scholar 

  16. Chen, B., Zhang, W.-A., Yu, L.: Distributed fusion estimation with missing measurements, random transmission delays and packet dropouts. IEEE Trans. Autom. Control 59(7), 1961–1967 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  17. Lu, R., Peng, H., Liu, S., Xu, Y., Li, X.-M.: Reliable \(l_{2}\)-\(l_{\infty }\) filtering for fuzzy Markov stochastic systems with sensor failures and packet dropouts. IET Control Theory Appl. 11(14), 2195–2203 (2017)

    Article  MathSciNet  Google Scholar 

  18. Lian, B., Zhang, Q., Li, J.: Integrated sliding mode control and neural networks based packet disordering prediction for nonlinear networked control systems. IEEE Trans. Neural Netw. Learn. Syst. 30(8), 2324–2335 (2019)

    Article  MathSciNet  Google Scholar 

  19. Zhang, F., Zhang, Q., Li, J.: Networked control for T-S fuzzy descriptor systems with network-induced delay and packet disordering. Neurocomputing 275, 2264–2278 (2018)

    Article  Google Scholar 

  20. Liu, A., Zhang, W.-A., Yu, L., Liu, S., Chen, M.Z.Q.: New results on stabilization of networked control systems with packet disordering. Automatica 52, 255–259 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  21. Zhao, Z., Wang, Z., Zou, L., Guo, J.: Set-membership filtering for time-varying complex networks with uniform quantisations over randomly delayed redundant channels. Int. J. Syst. Sci. 51(16), 3364–3377 (2020)

    Article  MathSciNet  MATH  Google Scholar 

  22. Ren, W., Xiong, J.: Tracking control of nonlinear networked and quantized control systems with communication delays. IEEE Trans. Autom. Control 65(8), 3685–3692 (2020)

    Article  MathSciNet  MATH  Google Scholar 

  23. Wang, F., Zhang, L., Zhou, S., Huang, Y.: Neural network-based finite-time control of quantized stochastic nonlinear systems. Neurocomputing 362, 195–202 (2019)

    Article  Google Scholar 

  24. Shen, H., Men, Y., Wu, Z.-G., Cao, J., Lu, G.: Network-based quantized control for fuzzy singularly perturbed semi-Markov jump systems and its application. IEEE Trans. Circuits Syst. I: Regul. Pap. 66(3), 1130–1140 (2019)

    Article  Google Scholar 

  25. Liu, A., Yu, L., Zhang, W., Chen, M.: Moving horizon estimation for networked systems with quantized measurements and packet dropouts. IEEE Trans. Circuits Syst. I: Regul. Pap. 60(7), 1823–1834 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  26. Zou, L., Wang, Z., Hu, J., Gao, H.: On \( {\mathscr{H}}_{\infty }\) finite-horizon filtering under stochastic protocol: dealing with high-rate communication networks. IEEE Trans. Autom. Control 62(9), 4884–4890 (2017)

    Google Scholar 

  27. Liu, K., Fridman, E., Hetel, L.: Stability and \(L_{2}\)-gain analysis of Networked Control Systems under Round-Robin scheduling: a time-delay approach. Syst. Control Lett. 61(5), 666–675 (2012)

    Article  MATH  Google Scholar 

  28. Song, J., Wang, Z., Niu, Y.: On \( {\mathscr{H}}_{\infty }\) sliding mode control under stochastic communication protocol. IEEE Trans. Autom. Control 64(5), 2174–2181 (2019)

    Article  MathSciNet  MATH  Google Scholar 

  29. Hu, B., Wang, Y., Orlik, P.V., Koike-Akino, T., Guo, J.: Co-design of safe and efficient networked control systems in factory automation with state-dependent wireless fading channels. Automatica 105, 334–346 (2019)

    Article  MathSciNet  MATH  Google Scholar 

  30. Guo, G., Eang, L.: Control over medium-constrained vehicular networks with fading channels and random access protocol: a networked systems approach. IEEE Trans. Veh. Technol. 64(8), 3347–3358 (2015)

    Article  Google Scholar 

  31. Chen, Y., Chen, Z., Chen, Z., Xue, A.: Observer-based passive control of non-homogeneous Markov jump systems with random communication delays. Int. J. Syst. Sci. 51(6), 1133–1147 (2020)

    Article  MathSciNet  MATH  Google Scholar 

  32. Zhang, L., Gao, H., Kaynak, O.: Network-induced constraints in networked control systems-a survey. IEEE Trans. Ind. Inf. 9(1), 403–416 (2013)

    Article  Google Scholar 

  33. Zhang, L., Shi, Y., Chen, T., Huang, B.: A new method for stabilization of networked control systems with random delays. IEEE Trans. Autom. Control 50(8), 1177–1181 (2005)

    Article  MathSciNet  MATH  Google Scholar 

  34. Zhang, X.-M., Han, Q.-L., Yu, X.: Survey on recent advances in networked control systems. IEEE Trans. Ind. Inf. 12(5), 1740–1752 (2016)

    Article  Google Scholar 

  35. Ge, X., Yang, F., Han, Q.-L.: Distributed networked control systems: a brief overview. Inf. Sci. 380, 117–131 (2017)

    Article  Google Scholar 

  36. Zhang, X.-M., Han, Q.-L., Zhang, B.-L.: An overview and deep investigation on sampled-data-based event-triggered control and filtering for networked systems. IEEE Trans. Ind. Inf. 13(1), 4–16 (2017)

    Article  MathSciNet  Google Scholar 

  37. Tabuada, P.: Event-triggered real-time scheduling of stabilizing control tasks. IEEE Trans. Autom. Control 52(9), 1680–1685 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  38. Dimarogonas, D.V., Frazzoli, E., Johansson, K.H.: Distributed event-triggered control for multi-agent systems. IEEE Trans. Autom. Control 57(5), 1291–1297 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  39. Wang, F., Chen, B., Lin, C., Zhang, J., Meng, X.: Adaptive neural network finite-time output feedback control of quantized nonlinear systems. IEEE Trans. Cybern. 48(6), 1839–1848 (2018)

    Article  Google Scholar 

  40. Caballero-Águila, R., García-Garrido, I., Linares-Pérez, J.: Information fusion algorithms for state estimation in multi-sensor systems with correlated missing measurements. Appl. Math. Comput. 226, 548–563 (2014)

    MATH  Google Scholar 

  41. Dačić, D.B., Nešić, D.: Quadratic stabilization of linear networked control systems via simultaneous protocol and controller design. Automatica 43(7), 1145–1155 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  42. Zou, L., Wang, Z., Han, Q.-L., Zhou, D.: Ultimate boundedness control for networked systems with Try-Once-Discard protocol and uniform quantization effects. IEEE Trans. Autom. Control 62(12), 6582–6588 (2017)

    Article  MathSciNet  MATH  Google Scholar 

  43. Zhu, K., Hu, J., Liu, Y., Alotaibi, N.D., Alsaadi, F.E.: On \(\ell _{2}\)-\(\ell _{\infty }\) output-feedback control scheduled by stochastic communication protocol for two-dimensional switched systems. Int. J. Syst. Sci. (in press). https://doi.org/10.1080/00207721.2021.1914768

  44. Sun, X.-M., Liu, G.-P., Wang, W., Rees, D.: \(L_{2}\)-gain of systems with input delays and controller temporary failure: zero-order hold model. IEEE Trans. Control Syst. Technol. 19(3), 699–706 (2011)

    Article  Google Scholar 

  45. Schenato, L.: To zero or to hold control inputs with lossy links? IEEE Trans. Autom. Control 54(5), 1093–1099 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  46. Donkers, M.C.F., Heemels, W.P.M.H., van de Wouw, N., Hetel, L.: Stability analysis of networked control systems using a switched linear systems approach. IEEE Trans. Autom. Control 56(9), 2101–2115 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  47. Tabbara, M., Nešić, D.: Input-output stability of networked control systems with stochastic protocols and channels. IEEE Trans. Autom. Control 53(5), 1160–1175 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  48. Bauer, N.W., Donkers, M.C.F., van de Wouw, N., Heemels, W.P.M.H.: Decentralized observer-based control via networked communication. Automatica 49(7), 2074–2086 (2013)

    Article  MathSciNet  MATH  Google Scholar 

  49. Heemels, W.P.M.H., Teel, A.R., van de Wouw, N., Nešić, D.: Networked control systems with communication constraints: tradeoffs between transmission intervals, delays and performance. IEEE Trans. Autom. Control 55(8), 1781–1796 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  50. Ju, Y., Wei, G., Ding, D., Zhang, S.: Fault detection for discrete time-delay networked systems with round-robin protocol in finite-frequency domain. Int. J. Syst. Sci. 50(13), 2409–2497 (2019)

    Article  MathSciNet  MATH  Google Scholar 

  51. Donkers, M.C.F., Heemels, W.P.M.H., Bernardini, D., Bemporad, A., Shneer, V.: Stability analysis of stochastic networked control systems. Automatica 48(5), 917–925 (2012)

    Article  MathSciNet  MATH  Google Scholar 

  52. Liu, K., Seuret, A., Fridman, E., Xia, Y.: Improved stability conditions for discrete-time systems under dynamic network protocols. Int. J. Robust Nonlinear Control 28(15), 4479–4499 (2018)

    MathSciNet  MATH  Google Scholar 

  53. Long, Y., Yang, G.-H.: Fault detection and isolation for networked control systems with finite frequency specifications. Int. J. Robust Nonlinear Control 24(3), 495–514 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  54. Walsh, G.C., Ye, H.: Scheduling of networked control systems. IEEE Control Syst. Mag. 21(1), 57–65 (2001)

    Article  Google Scholar 

  55. Zhang, W., Branicky, M.S., Phillips, S.M.: Stability of networked control systems. IEEE Control Syst. Mag. 21(1), 84–99 (2001)

    Article  Google Scholar 

  56. Walsh, G.C., Ye, H., Bushbell, L.G.: Stability analysis of networked control systems. IEEE Trans. Control Syst. Technol. 10(3), 438–446 (2002)

    Article  Google Scholar 

  57. Yu, H., Hao, F., Chen, T.: A uniform analysis on input-to-state stability of decentralized event-triggered control systems. IEEE Tans. Autom. Control 64(8), 3423–3430 (2019)

    Article  MathSciNet  MATH  Google Scholar 

  58. Carnevale, D., Teel, A.R., Nešić, D.: A Lyapunov proof of an improved maximum allowable transfer interval of networked control systems. IEEE Trans. Autom. Control 52(5), 892–897 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  59. Nešić, D., Teel, A.R.: Input-output stability properties of networked control systems. IEEE Trans. Autom. Control 49(10), 1650–1667 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  60. Tabbara, M., Nešić, D., Teel, A.R.: Stability of wireless and wireline networked control systems. IEEE Trans. Autom. Control 52(9), 1615–1630 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  61. Liu, K., Fridman, E., Johansson, K.H.: Networked control with stochastic scheduling. IEEE Trans. Autom. Control 61(11), 3071–3076 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  62. Zhou, L., Wei, Y.: Stability analysis of networked control systems based on \({\cal{L}}_{p}\) properties. Int. J. Control Autom. Syst. 13(2), 390–397 (2015)

    Article  Google Scholar 

  63. Xu, Y., Su, H., Pan, Y., Wu, Z., Xu, W.: Stability analysis of network control systems with round-robin scheduling and packet dropouts. J. Frankl. Inst. 350(8), 2013–2027 (2013)

    Article  MATH  Google Scholar 

  64. Liu, K., Fridman, E., Hetel, L., Richard, J.: Sampled-data stabilization via Round-Robin scheduling: a direct Lyapunov–Krasovskii approach. In: Proceedings of the 18th IFAC World Congress, Milano, Italy, pp. 1459–1464 (2011)

    Google Scholar 

  65. Liu, K., Fridman, E., Hetel, L.: Networked control systems in the presence of scheduling protocols and communication delays. SIAM J. Control Optim. 53(4), 1768–1788 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  66. Antunes, D., Hespanha, J.P., Silvestre, C.: Stochastic networked control systems with dynamic protocols. Asian J. Control 17(1), 99–110 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  67. Li, B., Wang, Z., Han, Q.-L., Liu, H.: Input-to-state stabilization in probability for nonlinear stochastic systems under quantization effects and communication protocol. IEEE Trans. Cybern. 49(9), 3242–3254 (2019)

    Article  Google Scholar 

  68. Ding, D., Han, Q.-L., Wang, Z., Ge, X.: A survey on model-based distributed control and filtering for industrial cyber-physical systems. IEEE Trans. Ind. Inf. 15(5), 2483–2499 (2019)

    Article  Google Scholar 

  69. Zhang, X.-M., Han, Q.-L., Ge, X., Ding, D., Ding, L., Yue, D., Peng, C.: Networked control systems: a survey of trends and techniques. IEEE/CAA J. Automatica Sinica 7(1) (2020)

    Google Scholar 

  70. Ding, D., Han, Q.-L., Xiang, Y., Ge, X., Zhang, X.-M.: A survey on security control and attack detection for industrial cyber-physical systems. Neurocomputing 275, 1674–1683 (2018)

    Article  Google Scholar 

  71. Zhou, C., Du, M., Chen, Q.: Co-design of dynamic scheduling and \( {\mathscr{H}}_{\infty }\) control for networked control systems. Appl. Math. Comput. 218(21), 10767–10775 (2012)

    Google Scholar 

  72. Zhou, C., Lu, H., Ren, J., Chen, Q.: Co-design of dynamic scheduling and quantized control for networked control systems. J. Frankl. Inst. 352(10), 3988–4003 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  73. Liu, K., Fridman, E.: Discrete-time network-based control under Try-Once-discard protocol and actuator constraints. In: Proceedings of the 2014 European Control Conference (ECC), Strasbourg, France, pp. 442–447 (2014)

    Google Scholar 

  74. Liu, K., Fridman, E.: Discrete-time network-based control under scheduling and actuator constraints. Int. J. Robust Nonlinear Control 25(12), 1816–1830 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  75. Liu, K., Fridman, E., Johansson, K.H., Xia, Y.: quantized control under Round-Robin communication protocol. IEEE Trans. Ind. Electron. 63(7), 4461–4471 (2016)

    Article  Google Scholar 

  76. Zhu, C., Guo, G., Yang, B., Wang, Z.: Networked optimal control with random medium access protocol and packet dropouts. Math. Probl. Eng. 2015, art. no. 105416 (2015)

    Google Scholar 

  77. Zhang, W., Yu, L., Feng, G.: Stabilization of linear discrete-time networked control systems via protocol and controller co-design. Int. J. Robust Nonlinear Control 25(16), 3072–3085 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  78. Ishii, H.: \( {\mathscr{H}}_{\infty }\) control with limited communication and message losses. Syst. Control Lett. 57(4), 322–331 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  79. Zhang, J., Peng, C., Fei, M.-R., Tian, Y.-C.: Output feedback control of networked systems with a stochastic communication protocol. J. Frankl. Inst. 354(9), 3838–3853 (2017)

    Article  MathSciNet  MATH  Google Scholar 

  80. Guo, G., Wen, S.: Protocol sequence and control co-design for a collection of networked control systems. Int. J. Robust Nonlinear Control 26(3), 489–508 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  81. Chen, T.: Robust state estimation for power systems via moving horizon strategy. Sustain. Energy Grids Netw. 10, 46–54 (2017)

    Article  Google Scholar 

  82. Zou, L., Wen, T., Wang, Z., Chen, L., Roberts, C.: State estimation for communication-based train control systems with CSMA protocol. IEEE Trans. Intell. Transp. Syst. 20(3), 843–854 (2019)

    Article  Google Scholar 

  83. Ge, X., Han, Q.-L., Zhang, X.-M., Ding, L., Yang, F.: Distributed event-triggered estimation over sensor networks: a survey. IEEE Trans. Cybern. (in press). https://doi.org/10.1109/TCYB.2019.2917179

  84. Chen, B., Yu, L., Zhang, W.-A., Wang, H.: Distributed \({\mathscr{H}}_{\infty }\) fusion filtering with communication bandwidth constraints. Signal Process. 96, Part B, 284–289 (2014)

    Google Scholar 

  85. Zou, L., Wang, Z., Han, Q.-L., Zhou, D.: Moving horizon estimation for networked time-delay systems under Round-Robin protocol. IEEE Trans. Autom. Control 64(12), 5191–5198 (2019)

    Article  MathSciNet  MATH  Google Scholar 

  86. Zhang, J., Peng, C.: Networked \({\mathscr{H}}_{\infty }\) filtering under a weighted TOD protocol. Automatica 107, 333–341 (2019)

    Article  MathSciNet  MATH  Google Scholar 

  87. Shen, Y., Wang, Z., Shen, B., Alsaadi, F.E.: \( {\mathscr{H}}_{\infty }\) filtering for multi-rate multi-sensor systems with randomly occurring sensor saturations under the \(p\)-persistent CSMA protocol. IET Control Theory Appl. 14(10), 1255–1265 (2020)

    Article  Google Scholar 

  88. Mao, J., Sun, Y., Yi, X., Liu, H., Ding, D.: Recursive filtering of networked nonlinear systems: a survey. Int. J. Syst. Sci. 52(6), 1110–1128 (2021)

    Article  MathSciNet  Google Scholar 

  89. Postoyan, R., van de Wouw, N., Nešić, D., Heemels, W.P.M.H.: Tracking control for nonlinear networked control systems. IEEE Trans. Autom. Control 59(6), 1539–1554 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  90. Ahmadi, A., Salmasi, F.R.: Observer-based reliable control for Lipschitz nonlinear networked control systems with quadratic protocol. Int. J. Control Autom. Syst. 13(3), 753–763 (2015)

    Article  Google Scholar 

  91. Ding, D., Wang, Z., Han, Q.-L.: Neural-network-based output-feedback control with stochastic communication protocols. Automatica 106, 221–229 (2019)

    Article  MathSciNet  MATH  Google Scholar 

  92. Ding, D., Wang, Z., Han, Q.-L., Wei, G.: Neural-network-based output-feedback control under Round-Robin scheduling protocols. IEEE Trans. Cybern. 49(6), 2372–2384 (2019)

    Article  Google Scholar 

  93. Wang, W., Nešić, D., Postoyan, R.: Emulation-based stabilization of networked control systems implemented on FlexRay. Automatica 59, 73–83 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  94. Sun, X.-M., Liu, K.-Z., Wen, C., Wang, W.: Predictive control of nonlinear continuous networked control systems with large time-varying transmission delays and transmission protocols. Automatica 64, 76–85 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  95. Li, Y., Zhang, K., Liu, K., Johansson, R., Yin, Y.: Neural-network-based adaptive control for bilateral teleoperation with multiple slaves under Round-Robin scheduling protocol. Int. J. Control 94(6), 1461–1474 (2021)

    Article  MathSciNet  MATH  Google Scholar 

  96. Dong, Y., Song, Y., Wang, J., Zhang, B.: Dynamic output-feedback fuzzy MPC for Takagi-Sugeno fuzzy systems under event-triggering-based try-once-discard protocol. Int. J. Robust Nonlinear Control 30(4), 1394–1416 (2020)

    Article  MathSciNet  MATH  Google Scholar 

  97. Liu, K.-Z., Wang, R., Li, Y.: Observer design for nonlinear networked control systems with variable transmission delays and protocols based on a hybrid system technique. Neurocomputing 173, 2115–2120 (2016)

    Article  Google Scholar 

  98. Fu, H., Dong, H., Han, F., Shen, Y., Hou, N.: Outlier-resistant \( {\mathscr{H}}_{\infty }\) filtering for a class of networked systems under Round-Robin protocol. Neurocomputing 403, 133–142 (2020)

    Article  Google Scholar 

  99. Wan, X., Wang, Z., Wu, M., Liu, X.: \( {\mathscr{H}}_{\infty }\) state estimation for discrete-time nonlinear singularly perturbed complex networks under the Round-Robin protocol. IEEE Trans. Neural Netw. Learn. Syst. 30(2), 415–426 (2019)

    Article  MathSciNet  Google Scholar 

  100. Shen, H., Men, Y., Cao, J., Park, J.H.: \( {\mathscr{H}}_{\infty }\) filtering for fuzzy jumping genetic regulatory networks with Round-Robin protocol: a hidden-Markov-model-based approach. IEEE Trans. Fuzzy Syst. 28(1), 112–121 (2020)

    Article  Google Scholar 

  101. Alsaadi, F.E., Luo, Y., Liu, Y., Wang, Z.: State estimation for delayed neural networks with stochastic communication protocol: the finite-time case. Neurocomputing 281, 86–95 (2018)

    Article  Google Scholar 

  102. Mao, J., Ding, D., Wei, G., Liu, H.: Networked recursive filtering for time-delayed nonlinear stochastic systems with uniform quantisation under Round-Robin protocol. Int. J. Syst. Sci. 50(4), 871–884 (2019)

    Article  MathSciNet  MATH  Google Scholar 

  103. Chen, S., Guo, J., Ma, L.: Sliding mode observer design for discrete nonlinear time-delay systems with stochastic communication protocol. Int. J. Control Autom. Syst. 17(7), 1666–1676 (2019)

    Article  Google Scholar 

  104. Shen, H., Huo, S., Cao, J., Huang, T.: Generalized state estimation for Markovian coupled networks under Round-Robin protocol and redundant channels. IEEE Trans. Cybern. 49(4), 1292–1391 (2019)

    Article  Google Scholar 

  105. Zou, L., Wang, Z., Han, Q.-L., Zhou, D.: Moving horizon estimation of networked nonlinear systems with random access protocol. IEEE Trans. Syst. Man Cybern. Syst. 51(5), 2937–2948 (2021)

    Article  Google Scholar 

  106. Li, Q., Liang, J.: Dissipativity of the stochastic Markovian switching CVNNs with randomly occurring uncertainties and general uncertain transition rates. Int. J. Syst. Sci. 51(6), 1102–1118 (2020)

    Article  MathSciNet  MATH  Google Scholar 

  107. Tan, H., Shen, B., Peng, K., Liu, H.: Robust recursive filtering for uncertain stochastic systems with amplify-and-forward relays. Int. J. Syst. Sci. 51(7), 1188–1199 (2020)

    Article  MathSciNet  MATH  Google Scholar 

  108. Shen, B., Wang, Z., Tan, H.: Guaranteed cost control for uncertain nonlinear systems with mixed time-delays: the discrete-time case. Eur. J. Control 40, 62–67 (2018)

    Article  MathSciNet  MATH  Google Scholar 

  109. Hu, J., Wang, Z., Liu, G.-P., Zhang, H.: Variance-constrained recursive state estimation for time-varying complex networks with quantized measurements and uncertain inner coupling. IEEE Trans. Neural Netw. Learn. Syst. 31(6), 1955–1967 (2020)

    Article  MathSciNet  Google Scholar 

  110. Shi, Y., Peng, X.: Fault detection filters design of polytopic uncertain discrete-time singular Markovian jump systems with time-varying delays. J. Frankl. Inst. 357(11), 7343–7367 (2020)

    Article  MathSciNet  MATH  Google Scholar 

  111. Rao, H., Xu, Y., Zhang, B., Yao, D.: Robust estimator design for periodic neural networks with polytopic uncertain weight matrices and randomly occurred sensor nonlinearities. IET Control Theory Appl. 12(9), 1299–1305 (2018)

    Article  MathSciNet  Google Scholar 

  112. Zhang, X.-M., Han, Q.-L., Ge, X.: A novel finite-sum inequality-based method for robust \( {\mathscr{H}}_{\infty }\) control of uncertain discrete-time Takagi-Sugeno fuzzy systems with interval-like time-varying delays. IEEE Trans. Cybern. 48(9), 2569–2582 (2018)

    Article  Google Scholar 

  113. Caballero-Águila, R., Hermoso-Carazo, A., Linares-Pérez, J.: Centralized, distributed and sequential fusion estimation from uncertain outputs with correlation between sensor noises and signal. Int. J. Gen. Syst. 48(7), 713–737 (2019)

    Article  MathSciNet  Google Scholar 

  114. Basin, M.V., Maldonado, J.J.: Optimal controller for uncertain stochastic linear systems with Poisson noises. IEEE Trans. Ind. Inf. 10(1), 267–275 (2014)

    Article  Google Scholar 

  115. Zhu, K., Song, Y., Ding, D.: Resilient RMPC for polytopic uncertain systems under TOD protocol: a switched system approach. Int. J. Robust Nonlinear Control 28(16), 5103–5117 (2018)

    Article  MathSciNet  MATH  Google Scholar 

  116. Zhu, K., Song, Y., Ding, D., Wei, G., Liu, H.: Robust MPC under event-triggered mechanism and Round-Robin protocol: an average dwell-time approach. Inf. Sci. 457–458, 126–140 (2018)

    Article  MathSciNet  MATH  Google Scholar 

  117. Song, Y., Wang, Z., Ding, D., Wei, G.: Robust \(H_{2}/H_{\infty }\) model predictive control for linear systems with polytopic uncertainties under weighted MEF-TOD protocol. IEEE Trans. Syst. Man Cybern. Syst. 49(7), 1470–1481 (2019)

    Article  Google Scholar 

  118. Wang, J., Song, Y., Wei, G.: Dynamic output-feedback RMPC for systems with polytopic uncertainties under Round-Robin protocol. J. Frankl. Inst. 356(4), 2421–2439 (2019)

    Article  MathSciNet  MATH  Google Scholar 

  119. Wang, J., Song, Y., Wei, G., Dong, Y.: Robust model predictive control for polytopic uncertain systems with state saturation nonlinearities under Round-Robin protocol. Int. J. Robust Nonlinear Control 29(6), 2188–2202 (2019)

    Article  MathSciNet  MATH  Google Scholar 

  120. Zhao, H., Niu, Y., Jia, T.: Security control of cyber-physical switched systems under Round-Robin protocol: input-to-state stability in probability. Inf. Sci. 508, 121–134 (2020)

    Article  MathSciNet  MATH  Google Scholar 

  121. Li, D., Liang, J., Wang, F.: \( {\mathscr{H}}_{\infty }\) state estimation for two-dimensional systems with randomly occurring uncertainties and Round-Robin protocol. Neurocomputing 349, 248–260 (2019)

    Article  Google Scholar 

  122. Li, D., Liang, J., Wang, F., Ren, X.: Observer-based \( {\mathscr{H}}_{\infty }\) control of two-dimensional delayed networks under the random access protocol. Neurocomputing 401, 353–363 (2020)

    Article  Google Scholar 

  123. Li, J., Wang, Z., Dong, H., Fei, W.: Delay-distribution-dependent state estimation for neural networks under stochastic communication protocol with uncertain transition probabilities. Neural Netw. 130, 143–151 (2020)

    Article  MATH  Google Scholar 

  124. Chen, D., Yang, N., Hu, J., Du, J.: Resilient set-membership state estimation for uncertain complex networks with sensor saturation under Round-Robin protocol. Int. J. Control Autom. Syst. 17(12), 3035–3046 (2019)

    Article  Google Scholar 

  125. Liu, S., Wang, Z., Chen, Y., Wei, G.: Protocol-based unscented Kalman filtering in the presence of stochastic uncertainties. IEEE Trans. Autom. Control 65(3), 1303–1309 (2020)

    Article  MathSciNet  MATH  Google Scholar 

  126. Dong, H., Bu, X., Hou, N., Liu, Y., Alsaadi, F.E., Hayat, T.: Event-triggered distributed state estimation for a class of time-varying systems over sensor networks with redundant channels. Inf. Fusion 36, 243–250 (2017)

    Article  Google Scholar 

  127. Zhao, Z., Wang, Z., Zou, L., Wang, Z.: Finite-horizon \( {\mathscr{H}}_{\infty }\) state estimation for artificial neural networks with component-based distributed delays and stochastic protocol. Neurocomputing 321, 169–177 (2018)

    Article  Google Scholar 

  128. Liu, H., Wang, Z., Fei, W., Li, J., Alsaadi, F.E.: On finite-horizon \( {\mathscr{H}}_{\infty }\) state estimation for discrete-time delayed memristive neural networks under stochastic communication protocol. Inf. Sci. 555 (2021)

    Google Scholar 

  129. Li, J., Wei, G., Ding, D., Li, Y.: Set-membership filtering for discrete time-varying nonlinear systems with censored measurements under Round-Robin protocol. Neurocomputing 281, 20–26 (2018)

    Article  Google Scholar 

  130. Hu, J., Yang, Y., Liu, H., Chen, D., Du, J.: Non-fragile set-membership estimation for sensor-saturated memristive neural networks via weighted try-once-discard protocol. IET Control Theory Appl. 14(13), 1671–1680 (2020)

    Article  Google Scholar 

  131. Yang, Y., Hu, J., Chen, D., Wei, Y., Du, J.: Non-fragile suboptimal set-membership estimation for delayed memristive neural networks with quantization via maximum-error-first protocol. Int. J. Control Autom. Syst. 18(7), 1904–1914 (2020)

    Article  Google Scholar 

  132. Liu, S., Wang, Z., Wang, L., Wei, G.: On quantized \({\mathfrak{H}}_{\infty }\) filtering for multi-rate systems under stochastic communication protocols: the finite-horizon case. Inf. Sci. 456, 211–223 (2018)

    Article  MathSciNet  MATH  Google Scholar 

  133. Shen, Y., Wang, Z., Shen, B., Alsaadi, F.E., Alsaadi, F.E.: Fusion estimation for multi-rate linear repetitive processes under weighted try-once-discard protocol. Inf. Fusion 55, 281–291 (2020)

    Article  Google Scholar 

  134. Chen, Y., Wang, Z., Wang, L., Sheng, W.: Finite-horizon \( {\mathscr{H}}_{\infty }\) state estimation for stochastic coupled networks with random inner couplings using Round-Robin protocol. IEEE Trans. Cybern. 51(3), 1204–1215 (2021)

    Article  Google Scholar 

  135. Li, X., Han, F., Hou, N., Dong, H., Liu, H.: Set-membership filtering for piecewise linear systems with censored measurements under Round-Robin protocol. Int. J. Syst. Sci. 51(9), 1578–1588 (2020)

    Article  MathSciNet  MATH  Google Scholar 

  136. Yuan, Y., Wang, Z., Zhang, P., Liu, H.: Near-optimal resilient control strategy design for state-saturated networked systems under stochastic communication protocol. IEEE Trans. Cybern. 49(8), 3155–3167 (2019)

    Article  Google Scholar 

  137. Yuan, Y., Zhang, P., Wang, Z., Chen, Y.: Noncooperative event-triggered control strategy design with Round-Robin protocol: applications to load frequency control of circuit systems. IEEE Trans. Ind. Electron. 67(3), 2155–2166 (2020)

    Article  Google Scholar 

  138. Shen, L., Niu, Y., Zou, L., Liu, Y., Alsaadi, F.E.: Finite-horizon state estimation for time-varying complex networks with random coupling strengths under Round-Robin protocol. J. Frankl. Inst. 355(15), 7417–7442 (2018)

    Article  MathSciNet  MATH  Google Scholar 

  139. Wang, D., Wang, Z., Shen, B., Li, Q.: \( {\mathscr{H}}_{\infty }\) finite-horizon filtering for complex networks with state saturations: the weighted try-once-discard protocol. Int. J. Robust Nonlinear Control 29(7), 2096–2111 (2019)

    Article  MathSciNet  MATH  Google Scholar 

  140. Wan, X., Wang, Z., Han, Q.-L., Wu, M.: A recursive approach to quantized \( {\mathscr{H}}_{\infty }\) state estimation for genetic regulatory networks under stochastic communication protocols. IEEE Trans. Neural Netw. Learn. Syst. 30(9), 2840–2852 (2019)

    Article  MathSciNet  Google Scholar 

  141. Zou, L., Wang, Z., Han, Q.-L., Zhou, D.: Recursive filtering for time-varying systems with random access protocol. IEEE Trans. Autom. Control 64(12), 720–727 (2019)

    Article  MathSciNet  MATH  Google Scholar 

  142. Liu, S., Wang, Z., Hu, J., Wei, G.: Protocol-based extended Kalman filtering with quantization effects: the Round-Robin case. Int. J. Robust Nonlinear Control (in press). https://doi.org/10.1002/rnc.5205

  143. Zhang, H., Hu, J., Liu, H., Yu, X., Liu, F.: Recursive state estimation for time-varying complex networks subject to missing measurements and stochastic inner coupling under random access protocol. Neurocomputing 346, 49–57 (2019)

    Article  Google Scholar 

  144. Zou, L., Wang, Z., Han, Q.-L., Zhou, D.: Full information estimation for time-varying systems subject to Round-Robin scheduling: a recursive filter approach. IEEE Trans. Syst. Man Cybern. Syst. 51(3), 1904–1916 (2021)

    Article  Google Scholar 

  145. Alsaadi, F.E., Wang, Z., Wang, D., Alsaadi, F.E., Alsaade, F.W.: Recursive fusion estimation for stochastic discrete time-varying complex networks under stochastic communication protocol: the state-saturated case. Inf. Fusion 60, 11–19 (2020)

    Article  Google Scholar 

  146. Ugrinovskii, V., Fridman, E.: A Round-Robin type protocol for distributed estimation with \( {\mathscr{H}}_{\infty }\) consensus. Syst. Control Lett. 69, 103–110 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  147. Xu, Y., Lu, R., Shi, P., Li, H., Xie, S.: Finite-time distributed state estimation over sensor networks with Round-Robin protocol and fading channels. IEEE Trans. Cybern. 48(1), 336–345 (2018)

    Article  Google Scholar 

  148. Liu, K., Guo, H., Zhang, Q., Xia, Y.: Distributed secure filtering for discrete-time systems under Round-Robin protocol and deception attacks. IEEE Trans. Cybern. 50(8), 3571–3580 (2020)

    Article  Google Scholar 

  149. Shen, B., Wang, Z., Wang, D., Liu, H.: Distributed state-saturated recursive filtering over sensor networks under Round-Robin protocol. IEEE Trans. Cybern. 50(8), 3605–3615 (2020)

    Article  Google Scholar 

  150. Chen, S., Ma, L., Ma, Y.: Distributed setmembership filtering for nonlinear systems subject to round-robin protocol and stochastic communication protocol over sensor networks. Neurocomputing 385, 13–21 (2020)

    Article  Google Scholar 

  151. Yuan, Y., Shi, M., Guo, L., Yang, H.: A resilient consensus strategy of near-optimal control for state-saturated multiagent systems with round-robin protocol. Int. J. Robust Nonlinear Control 29(10), 3200–3216 (2019)

    Article  MathSciNet  MATH  Google Scholar 

  152. Shen, L., Niu, Y., Gao, M.: Distributed resilient filtering for time-varying systems over sensor networks subject to Round-Robin/stochastic protocol. ISA Trans. 87, 55–67 (2019)

    Article  Google Scholar 

  153. Song, J., Han, F., Fu, H., Liu, H.: Finite-horizon distributed \( {\mathscr{H}}_{\infty }\)-consensus control of time-varying multi-agent systems with Round-Robin protocol. Neurocomputing 364, 219–226 (2019)

    Article  Google Scholar 

  154. Wang, Y., Ding, S.X., Xu, D., Shen, B.: An \( {\mathscr{H}}_{\infty }\) fault estimation scheme of wireless networked control systems for industrial real-time applications. IEEE Trans. Control Syst. Technol. 22(6), 2073–2086 (2014)

    Article  Google Scholar 

  155. Ding, S.X., Shen, B., Wang, Z., Zhong, M.: A fault detection scheme for linear discrete-time systems with an integrated online performance evaluation. Int. J. Control 87(12), 2511–2521 (2014)

    Article  MathSciNet  MATH  Google Scholar 

  156. Li, J., Wei, G., Ding, D., Zhang, S.: Event-triggered fault detection for switched systems with time-varying sojourn probabilities. Int. J. Robust Nonlinear Control 29(18), 6463–6482 (2019)

    Article  MathSciNet  MATH  Google Scholar 

  157. Yang, H., Yin, S.: Actuator and sensor fault estimation for time-delay Markov jump systems with application to wheeled mobile manipulators. IEEE Trans. Ind. Inf. 16(5), 3222–3232 (2019)

    Article  Google Scholar 

  158. Long, Y., Yang, G.-H.: Fault detection filter design for stochastic networked control systems. Int. J. Robust Nonlinear Control 25(3), 443–460 (2015)

    Article  MathSciNet  MATH  Google Scholar 

  159. Long, Y., Park, J.H., Ye, D.: Frequency-dependent fault detection for networked systems under uniform quantization and try-once-discard protocol. Int. J. Robust Nonlinear Control 30(2), 787–803 (2020)

    Article  MathSciNet  MATH  Google Scholar 

  160. Luo, Y., Wang, Z., Wei, G., Alsaadi, F.E.: \( {\mathscr{H}}_{\infty }\) fuzzy fault detection for uncertain 2-D systems under Round-Robin scheduling protocol. IEEE Trans. Syst. Man Cybern. Syst. 47(8), 2172–2184 (2017)

    Article  Google Scholar 

  161. Luo, Y., Wang, Z., Wei, G.: Fault detection for fuzzy systems with multiplicative noises under periodic communication protocols. IEEE Trans. Fuzzy Syst. 26(4), 2384–2395 (2017)

    Article  Google Scholar 

  162. Chen, W., Hu, J., Yu, X., Chen, D.: Protocol-based fault detection for discrete delayed systems with missing measurements: the uncertain missing probability case. IEEE Access 6, 76616–76626 (2018)

    Article  Google Scholar 

  163. Chen, W., Hu, J., Yu, X., Chen, D., Du, J.: Robust fault detection for nonlinear discrete systems with data drift and randomly occurring faults under weighted try-once-discard protocol. Circuits Syst. Signal Process. 39(1), 111–137 (2020)

    Article  Google Scholar 

  164. Ren, W., Sun, S., Huo, F., Lu, Y.: Nonfragile \( {\mathscr{H}}_{\infty }\) fault detection for fuzzy discrete systems under stochastic communication protocol. Optimal Control Appl. Methods (in press). https://doi.org/10.1002/oca.2674

  165. Gao, M., Zhang, W., Sheng, L., Zhou, D.: Distributed fault estimation for delayed complex networks with Round-Robin protocol based on unknown input observer. J. Frankl. Inst. 357(13), 8678–8702 (2020)

    Article  MathSciNet  MATH  Google Scholar 

  166. Ju, Y., Wei, G., Ding, D., Liu, S.: A novel fault detection method under weighted try-once-discard scheduling over sensor networks. IEEE Trans. Control Netw. Syst. 7(3), 1489–1499 (2020)

    Article  MathSciNet  MATH  Google Scholar 

  167. Gao, M., Yang, S., Sheng, L., Zhou, D.: Fault diagnosis for time-varying systems with multiplicative noises over sensor networks subject to Round-Robin protocol. Neurocomputing 346, 65–72 (2019)

    Article  Google Scholar 

  168. Fu, H., Dong, H., Song, J., Hou, N., Li, G.: Fault estimation for time-varying systems with Round-Robin protocol. Kybernetika 56(1), 107–126 (2020)

    MathSciNet  MATH  Google Scholar 

  169. Dong, H., Hou, N., Wang, Z., Liu, H.: Finite-horizon fault estimation under imperfect measurements and stochastic communication protocol: dealing with finite-time boundedness. Int. J. Robust Nonlinear Control 29(1), 117–134 (2019)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lei Zou .

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Zou, L., Wang, Z., Liang, J. (2022). Introduction. In: Communication-Protocol-Based Filtering and Control of Networked Systems. Studies in Systems, Decision and Control, vol 430. Springer, Cham. https://doi.org/10.1007/978-3-030-97512-8_1

Download citation

Publish with us

Policies and ethics