References
- Ahmadi, A., & Salmasi, F. R. (2015). Observer-based reliable control for Lipschitz nonlinear networked control systems with quadratic protocol. International Journal of Control, Automation, and Systems, 13(3), 753–763. https://doi.org/https://doi.org/10.1007/s12555-014-0212-3
- Alsaadi, F. E., Luo, Y., Liu, Y., & Wang, Z. (2018). State estimation for delayed neural networks with stochastic communication protocol: The finite-time case. Neurocomputing, 281, 86–95. https://doi.org/https://doi.org/10.1016/j.neucom.2017.11.067
- Antunes, D., Hespanha, J. P., & Silvestre, C. (2015). Stochastic networked control systems with dynamic protocols. Asian Journal of Control, 17(1), 99–110. https://doi.org/https://doi.org/10.1002/asjc.841
- Basin, M. V., & Maldonado, J. J. (2014). Optimal controller for uncertain stochastic linear systems with Poisson noises. IEEE Transactions on Industrial Informatics, 10(1), 267–275. https://doi.org/https://doi.org/10.1109/TII.2013.2248160
- Bauer, N. W., Donkers, M. C. F., van de Wouw, N., & Heemels, W. P. M. H. (2013). Decentralized observer-based control via networked communication. Automatica, 49(7), 2074–2086. https://doi.org/https://doi.org/10.1016/j.automatica.2013.04.019
- Caballero-Águila, R., García-Garrido, I., & Linares-Pérez, J. (2014). Information fusion algorithms for state estimation in multi-sensor systems with correlated missing measurements. Applied Mathematics and Computation, 226, 548–563. https://doi.org/https://doi.org/10.1016/j.amc.2013.10.068
- Caballero-Águila, R., Hermoso-Carazo, A., & Linares-Pérez, J. (2019). Centralized, distributed and sequential fusion estimation from uncertain outputs with correlation between sensor noises and signal. International Journal of General Systems, 48(7), 713–737. https://doi.org/https://doi.org/10.1080/03081079.2019.1659257
- Carnevale, D., Teel, A. R., & Nešić, D. (2011). A Lyapunov proof of an improved maximum allowable transfer interval of networked control systems. IEEE Transactions on Automatic Control, 52(5), 892–897. https://doi.org/https://doi.org/10.1109/TAC.2007.895913
- Chen, T. (2017). Robust state estimation for power systems via moving horizon strategy. Sustainable Energy, Grids and Networks, 10, 46–54. https://doi.org/https://doi.org/10.1016/j.segan.2017.02.005
- Chen, S., Guo, J., & Ma, L. (2019). Sliding mode observer design for discrete nonlinear time-delay systems with stochastic communication protocol. International Journal of Control, Automation and Systems, 17(7), 1666–1676. https://doi.org/https://doi.org/10.1007/s12555-018-0727-0
- Chen, W., Hu, J., Yu, X., Chen, D., & Du, J. (2020). Robust fault detection for nonlinear discrete systems with data drift and randomly occurring faults under weighted try-once-discard protocol. Circuits, Systems, and Signal Processing, 39(1), 111–137. https://doi.org/https://doi.org/10.1007/s00034-019-01184-0
- Chen, W., Hu, J., Yu, X., & Chen, D. (2018). Protocol-based fault detection for discrete delayed systems with missing measurements: the uncertain missing probability case. IEEE Access, 6, 76616–76626. https://doi.org/https://doi.org/10.1109/Access.6287639
- Chen, S., Ma, L., & Ma, Y. (2020). Distributed setmembership filtering for nonlinear systems subject to round-robin protocol and stochastic communication protocol over sensor networks. Neurocomputing, 385, 13–21. https://doi.org/https://doi.org/10.1016/j.neucom.2019.11.056
- Chen, D., Yang, N., Hu, J., & Du, J. (2019). Resilient set-membership state estimation for uncertain complex networks with sensor saturation under Round-Robin protocol. International Journal of Control, Automation and Systems, 17(12), 3035–3046. https://doi.org/https://doi.org/10.1007/s12555-018-0780-8
- Chen, B., Yu, L., Zhang, W.-A., & Wang, H. (2014). Distributed H∞ fusion filtering with communication bandwidth constraints. Signal Processing, 96, 284–289. https://doi.org/https://doi.org/10.1016/j.sigpro.2013.09.015
- Chen, B., Zhang, W.-A., & Yu, L. (2014). Distributed fusion estimation with missing measurements, random transmission delays and packet dropouts. IEEE Transactions on Automatic Control, 59(7), 1961–1967. https://doi.org/https://doi.org/10.1109/TAC.2013.2297192
- Dačić, D. B., & Nešić, D. (2007). Quadratic stabilization of linear networked control systems via simultaneous protocol and controller design. Automatica, 43(7), 1145–1155. https://doi.org/https://doi.org/10.1016/j.automatica.2006.12.027
- Demetriou, M. A. (2015). Adaptation and optimization of synchronization gains in the regulation control of networked distributed parameter systems. IEEE Transactions on Automatic Control, 60(8), 2219–2224. https://doi.org/https://doi.org/10.1109/TAC.2014.2372907
- Dimarogonas, D. V., Frazzoli, E., & Johansson, K. H. (2012). Distributed event-triggered control for multi-agent systems. IEEE Transactions on Automatic Control, 57(5), 1291–1297. https://doi.org/https://doi.org/10.1109/TAC.2011.2174666
- Ding, D., Han, Q.-L., Wang, Z., & Ge, X. (2019). A survey on model-based distributed control and filtering for industrial cyber-physical systems. IEEE Transactions on Industrial Informatics, 15(5), 2483–2499. https://doi.org/https://doi.org/10.1109/TII.9424
- Ding, D., Han, Q.-L., Xiang, Y., Ge, X., & Zhang, X.-M. (2018). A survey on security control and attack detection for industrial cyber-physical systems. Neurocomputing, 275, 1674–1683. https://doi.org/https://doi.org/10.1016/j.neucom.2017.10.009
- Ding, S. X., Shen, B., Wang, Z., & Zhong, M. (2014). A fault detection scheme for linear discrete-time systems with an integrated online performance evaluation. International Journal of Control, 87(12), 2511–2521. https://doi.org/https://doi.org/10.1080/00207179.2014.930183
- Ding, D., Wang, Z., & Han, Q.-L. (2019a). Neural-network-based output-feedback control with stochastic communication protocols. Automatica, 106, 221–229. https://doi.org/https://doi.org/10.1016/j.automatica.2019.04.025
- Ding, D., Wang, Z., Han, Q.-L., & Wei, G. (2019b). Neural-betwork-vased output-feedback control under Round-Robin scheduling protocols. IEEE Transactions on Cybernetics, 49(6), 2372–2384. https://doi.org/https://doi.org/10.1109/TCYB.2018.2827037
- Dong, H., Hou, N., Wang, Z., & Liu, H. (2019). Finite-horizon fault estimation under imperfect measurements and stochastic communication protocol: Dealing with finite-time boundedness. International Journal of Robust Nonlinear Control, 29(1), 117–134. https://doi.org/https://doi.org/10.1002/rnc.4382
- Dong, Y., Song, Y., Wang, J., & Zhang, B. (2020). Dynamic output-feedback fuzzy MPC for Takagi-Sugeno fuzzy systems under event-triggering-based try-once-discard protocol. International Journal of Robust Nonlinear Control, 30(4), 1394–1416. https://doi.org/https://doi.org/10.1002/rnc.v30.4
- Donkers, M. C. F., Heemels, W. P. M. H., Bernardini, D., Bemporad, A., & Shneer, V. (2012). Stability analysis of stochastic networked control systems. Automatica, 48(5), 917–925. https://doi.org/https://doi.org/10.1016/j.automatica.2012.02.029
- Donkers, M. C. F., Heemels, W. P. M. H., van de Wouw, N., & Hetel, L. (2011). Stability analysis of networked control systems using a switched linear systems approach. IEEE Transactions on Automatic Control, 56(9), 2101–2115. https://doi.org/https://doi.org/10.1109/TAC.2011.2107631
- Fu, H., Dong, H., Han, F., Shen, Y., & Hou, N. (2020). Outlier-resistant H∞ filtering for a class of networked systems under Round-Robin protocol. Neurocomputing, 403, 133–142. https://doi.org/https://doi.org/10.1016/j.neucom.2020.04.058
- Fu, H., Dong, H., Song, J., Hou, N., & Li, G. (2020). Fault estimation for time-varying systems with Round-Robin protocol. Kybernetika, 56(1), 107–126. https://doi.org/10.14736/kyb-2020-1-0107
- Gao, M., Yang, S., Sheng, L., & Zhou, D. (2019). Fault diagnosis for time-varying systems with multiplicative noises over sensor networks subject to Round-Robin protocol. Neurocomputing, 346, 65–72. https://doi.org/https://doi.org/10.1016/j.neucom.2018.08.087
- Gao, M., Zhang, W., Sheng, L., & Zhou, D. (2020). Distributed fault estimation for delayed complex networks with Round-Robin protocol based on unknown input observer. Journal of the Franklin Institute, 357(13), 8678–8702. https://doi.org/https://doi.org/10.1016/j.jfranklin.2020.04.012
- Ge, X., Han, Q.-L., Zhang, X.-M., Ding, L., & Yang, F. (2019). Distributed event-triggered estimation over sensor networks: A survey. IEEE Transactions on Cybernetics, 50, 1306–1320. doi:https://doi.org/10.1109/TCYB.2019.2917179
- Ge, X., Yang, F., & Han, Q.-L. (2017). Distributed networked control systems: a brief overview. Information Sciences, 380, 117–131. https://doi.org/https://doi.org/10.1016/j.ins.2015.07.047
- Guo, G., & Wang, L. (2015). Control over medium-constrained vehicular networks with fading channels and random access protocol: A networked systems approach. IEEE Transactions on Vehicular Technology, 64(8), 3347–3358. https://doi.org/https://doi.org/10.1109/TVT.2014.2360438
- Guo, G., & Wen, S. (2016). Protocol sequence and control co-design for a collection of networked control systems. International Journal of Robust and Nonlinear Control, 26(3), 489–508. https://doi.org/https://doi.org/10.1002/rnc.v26.3
- Han, H., Zhang, X., & Zhang, W. (2016). Robust distributed model predictive control under actuator saturations and packet dropouts with time-varying probabilities. IET Control Theory & Applications, 10(5), 534–544. https://doi.org/https://doi.org/10.1049/cth2.v10.5
- Heemels, W. P. M. H., Donkers, M. C. F., & Teel, A. R. (2013). Periodic event-triggered control for linear systems. IEEE Transactions on Automatic Control, 58(4), 847–861. https://doi.org/https://doi.org/10.1109/TAC.2012.2220443
- Heemels, W. P. M. H., Teel, A. R., van de Wouw, N., & Nešić, D. (2010). Networked control systems with communication constraints: Tradeoffs between transmission intervals, delays and performance. IEEE Transactions on Automatic Control, 55(8), 1781–1796. https://doi.org/https://doi.org/10.1109/TAC.2010.2042352
- Hou, Z., & Xiong, S. (2019). On model-free adaptive control and its stability analysis. IEEE Transactions on Automatic Control, 64(11), 4555–4569. https://doi.org/https://doi.org/10.1109/TAC.9
- Hu, J., Wang, Z., Liu, G.-P., & Zhang, H. (2020). Variance-constrained recursive state estimation for time-varying complex networks with quantized measurements and uncertain inner coupling. IEEE Transactions on Neural Networks and Learning Systems, 31(6), 1955–1967. https://doi.org/https://doi.org/10.1109/TNNLS.5962385
- Hu, B., Wang, Y., Orlik, P. V., Koike-Akino, T., & Guo, J. (2019). Co-design of safe and efficient networked control systems in factory automation with state-dependent wireless fading channels. Automatica, 105, 334–346. https://doi.org/https://doi.org/10.1016/j.automatica.2019.04.009
- Ishii, H. (2008). H∞ control with limited communication and message losses. Systems & Control Letters, 57(4), 322–331. https://doi.org/https://doi.org/10.1016/j.sysconle.2007.09.007
- Ju, Y., Wei, G., Ding, D., & Liu, S. (2020). A novel fault detection method under weighted try-once-discard scheduling over sensor networks. IEEE Transactions on Control of Network Systems, 7(3), 1489–1499. https://doi.org/https://doi.org/10.1109/TCNS.6509490
- Ju, Y., Wei, G., Ding, D., & Zhang, S. (2019). Fault detection for discrete time-delay networked systems with round-robin protocol in finite-frequency domain. International Journal of Systems Science, 50(13), 2497–2509. https://doi.org/https://doi.org/10.1080/00207721.2019.1671530
- Li, D., Liang, J., & Wang, F. (2019). H∞ state estimation for two-dimensional systems with randomly occurring uncertainties and Round-Robin protocol. Neurocomputing, 349, 248–260. https://doi.org/https://doi.org/10.1016/j.neucom.2019.03.052
- Li, D., Liang, J., Wang, F., & Ren, X. (2020). Observer-based H∞ control of two-dimensional delayed networks under the random access protocol. Neurocomputing, 401, 353–363. https://doi.org/https://doi.org/10.1016/j.neucom.2020.03.044
- Li, J., Wang, Z., Dong, H., & Fei, W. (2020). Delay-distribution-dependent state estimation for neural networks under stochastic communication protocol with uncertain transition probabilities. Neural Networks, 130, 143–151. https://doi.org/https://doi.org/10.1016/j.neunet.2020.06.023
- Li, B., Wang, Z., Han, Q.-L., & Liu, H. (2019). Input-to-state stabilization in probability for nonlinear stochastic systems under quantization effects and communication protocol. IEEE Transactions on Cybernetics, 49(9), 3242–3254. https://doi.org/https://doi.org/10.1109/TCYB.6221036
- Li, J., Wei, G., Ding, D., & Li, Y. (2018). Set-membership filtering for discrete time-varying nonlinear systems with censored measurements under Round-Robin protocol. Neurocomputing, 281, 20–26. https://doi.org/https://doi.org/10.1016/j.neucom.2017.11.033
- Li, J., Wei, G., Ding, D., & Zhang, S. (2019). Event-triggered fault detection for switched systems with time-varying sojourn probabilities. International Journal of Robust and Nonlinear Control, 29(18), 6463–6482. https://doi.org/https://doi.org/10.1002/rnc.v29.18
- Li, R.-G., & Wu, H.-N. (2020). Iterative approach with optimization-based execution scheme for parameter identification of distributed parameter systems and its application in secure communication. IEEE Transactions on Circuits and Systems I: Regular Papers, 67(9), 3113–3126. https://doi.org/https://doi.org/10.1109/TCSI.8919
- Li, Y., Zhang, K., Liu, K., Johansson, R., & Yin, Y. (2019). Neural-network-based adaptive control for bilateral teleoperation with multiple slaves under Round-Robin scheduling protocol. International Journal of Control. https://doi.org/https://doi.org/10.1080/00207179.2019.1652853
- Li, T., Zhang, W.-A., & Yu, L. (2019). Improved switched system approach to networked control systems with time-varying delays. IEEE Transactions on Control Systems Technology, 27(6), 2711–2717. https://doi.org/https://doi.org/10.1109/TCST.87
- Lian, B., Zhang, Q., & Li, J. (2019). Integrated sliding mode control and neural networks based packet disordering prediction for nonlinear networked control systems. IEEE Transactions on Neural Networks and Learning Systems, 30(8), 2324–2335. https://doi.org/https://doi.org/10.1109/TNNLS.5962385
- Liu, K., & Fridman, E. (2014). Discrete-time network-based control under try-once-discard protocol and actuator constraints. In Proceedings of the 2014 European Control Conference (ECC) (pp. 442–447). IEEE.
- Liu, K., & Fridman, E. (2015). Discrete-time network-based control under scheduling and actuator constraints. International Journal of Robust and Nonlinear Control, 25(12), 1816–1830. https://doi.org/https://doi.org/10.1002/rnc.3179
- Liu, K., Fridman, E., & Hetel, L. (2012). Stability and L2-gain analysis of networked control systems under Round-Robin scheduling: A time-delay approach. Systems & Control Letters, 61(5), 666–675. https://doi.org/https://doi.org/10.1016/j.sysconle.2012.03.002
- Liu, K., Fridman, E., & Hetel, L. (2015). Networked control systems in the presence of scheduling protocols and communication delays. SIAM Journal on Control and Optimization, 53(4), 1768–1788. https://doi.org/https://doi.org/10.1137/140980570
- Liu, K., Fridman, E., Hetel, L., & Richard, J. (2011). Sampled-data stabilization via Round-Robin scheduling: A direct Lyapunov-Krasovskii approach. In Proceedings of the 18th IFAC World Congress (pp. 1459–1464). IFAC.
- Liu, K., Fridman, E., & Johansson, K. H. (2015). Networked control with stochastic scheduling. IEEE Transactions on Automatic Control, 61(11), 3071–3076. https://doi.org/https://doi.org/10.1109/TAC.9
- Liu, K., Fridman, E., Johansson, K. H., & Xia, Y. (2016). Quantized control under Round-Robin communication protocol. IEEE Transactions on Industrial Electronics, 63(7), 4461–4471. https://doi.org/https://doi.org/10.1109/TIE.2016.2539259
- Liu, K., Guo, H., Zhang, Q., & Xia, Y. (2020). Distributed secure filtering for discrete-time systems under Round-Robin protocol and deception attacks. IEEE Transactions on Cybernetics, 50(8), 3571–3580. https://doi.org/https://doi.org/10.1109/TCYB.6221036
- Liu, S., Hou, Z., Zhang, X., & Ji, H. (2020). Model-free adaptive control method for a class of unknown MIMO systems with measurement noise and application to quadrotor aircraft. IET Control Theory & Applications, 14(15), 2084–2096. https://doi.org/https://doi.org/10.1049/cth2.v14.15
- Liu, K., Seuret, A., Fridman, E., & Xia, Y. (2018). Improved stability conditions for discrete-time systems under dynamic network protocols. International Journal of Robust and Nonlinear Control, 28(15), 4479–4499.https://doi.org/https://doi.org/10.1002/rnc.4247
- Liu, S., Wang, Z., Chen, Y., & Wei, G. (2020). Protocol-based unscented Kalman filtering in the presence of stochastic uncertainties. IEEE Transactions on Automatic Control, 65(3), 1303–1309. https://doi.org/https://doi.org/10.1109/TAC.9
- Liu, S., Wang, Z., Hu, J., & Wei, G. (2020). Protocol-based extended Kalman filtering with quantization effects: the Round-Robin case. International Journal of Robust and Nonlinear Control, 30, 7927–7946. https://doi.org/https://doi.org/10.1002/rnc.v30.18
- Liu, K.-Z., Wang, R., & Li, Y. (2016). Observer design for nonlinear networked control systems with variable transmission delays and protocols based on a hybrid system technique. Neurocomputing, 173, 2115–2120. https://doi.org/https://doi.org/10.1016/j.neucom.2015.10.058
- Liu, S., Wang, Z., Wang, L., & Wei, G. (2018). On quantized H∞ filtering for multi-rate systems under stochastic communication protocols: The finite-horizon case. Information Sciences, 456, 211–223. https://doi.org/https://doi.org/10.1016/j.ins.2018.02.050
- Liu, A., Zhang, W.-A., Yu, L., Liu, S., & Chen, M. Z. Q. (2015). New results on stabilization of networked control systems with packet disordering. Automatica, 52, 255–259. https://doi.org/https://doi.org/10.1016/j.automatica.2014.12.006
- Long, Y., Park, J. H., & Ye, D. (2020). Frequency-dependent fault detection for networked systems under uniform quantization and try-once-discard protocol. International Journal of Robust and Nonlinear Control, 30(2), 787–803. https://doi.org/https://doi.org/10.1002/rnc.v30.2
- Long, Y., & Yang, G.-H. (2014). Fault detection and isolation for networked control systems with finite frequency specifications. International Journal of Robust and Nonlinear Control, 24(3), 495–514. https://doi.org/https://doi.org/10.1002/rnc.2899
- Long, Y., & Yang, G.-H. (2015). Fault detection filter design for stochastic networked control systems. International Journal of Robust and Nonlinear Control, 25(3), 443–460. https://doi.org/https://doi.org/10.1002/rnc.v25.3
- Lu, R., Peng, H., Liu, S., Xu, Y., & Li, X.-M. (2017). Reliable l2- l∞ filtering for fuzzy Markov stochastic systems with sensor failures and packet dropouts. IET Control Theory & Applications, 11(14), 2195–2203. https://doi.org/https://doi.org/10.1049/cth2.v11.14
- Luo, Y., Wang, Z., Wei, G., & Alsaadi, F. E. (2017). H∞ fuzzy fault detection for uncertain 2-D systems under Round-Robin scheduling protocol. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(8), 2172–2184. https://doi.org/https://doi.org/10.1109/TSMC.2016.2632043
- Luo, Y., Wang, Z., & Wei, G. (2017). Fault detection for fuzzy systems with multiplicative noises under periodic communication protocols. IEEE Transactions on Fuzzy Systems, 26(4), 2384–2395. https://doi.org/https://doi.org/10.1109/TFUZZ.2017.2774193
- Mao, J., Ding, D., Wei, G., & Liu, H. (2019). Networked recursive filtering for time-delayed nonlinear stochastic systems with uniform quantisation under Round-Robin protocol. International Journal of Systems Science, 50(4), 871–884. https://doi.org/https://doi.org/10.1080/00207721.2019.1586002
- Nešić, D., & Teel, A. R. (2004). Input-output stability properties of networked control systems. IEEE Transactions on Automatic Control, 49(10), 1650–1667. https://doi.org/https://doi.org/10.1109/TAC.2004.835360
- Peng, C., & Han, Q.-L. (2016). On designing a novel self-triggered sampling scheme for networked control systems with data losses and communication delays. IEEE Transactions on Industrial Electronics, 63(2), 1239–1248. https://doi.org/https://doi.org/10.1109/TIE.2015.2504044
- Peng, C., & Yang, T. C. (2013). Event-triggered communication and H∞ control co-design for networked control systems. Automatica, 49(5), 1326–1332. https://doi.org/https://doi.org/10.1016/j.automatica.2013.01.038
- Postoyan, R., van de Wouw, N., Nešić, D., & Heemels, W. P. M. H. (2014). Tracking control for nonlinear networked control systems. IEEE Transactions on Automatic Control, 59(6), 1539–1554.https://doi.org/https://doi.org/10.1109/TAC.2014.2308598
- Rao, H., Xu, Y., Zhang, B., & Yao, D. (2018). Robust estimator design for periodic neural networks with polytopic uncertain weight matrices and randomly occurred sensor nonlinearities. IET Control Theory & Applications, 12(9), 1299–1305. https://doi.org/https://doi.org/10.1049/cth2.v12.9
- Ren, W., Sun, S., Huo, F., & Lu, F. (2020). Nonfragile H∞ fault detection for fuzzy discrete systems under stochastic communication protocol. Optimal Control Applications & Methods, 42, 261–278. https://doi.org/https://doi.org/10.1002/oca.v42.1
- Ren, W., & Xiong, J. (2020). Tracking control of nonlinear networked and quantized control systems with communication delays. IEEE Transactions on Automatic Control, 65(8), 3685–3692. https://doi.org/https://doi.org/10.1109/TAC.9
- Schenato, L. (2009). To zero or to hold control inputs with lossy links? IEEE Transactions on Automatic Control, 54(5), 1093–1099. https://doi.org/https://doi.org/10.1109/TAC.2008.2010999
- Shen, H., Huo, S., Cao, J., & Huang, T. (2019). Generalized state estimation for Markovian coupled networks under Round-Robin protocol and redundant channels. IEEE Transactions on Cybernetics, 49(4), 1292–1391. https://doi.org/https://doi.org/10.1109/TCYB.6221036
- Shen, H., Men, Y., Cao, J., & Park, J. H. (2020). H∞ filtering for fuzzy jumping genetic regulatory networks with Round-Robin protocol: A hidden-Markov-model-based approach. IEEE Transactions on Fuzzy Systems, 28(1), 112–121. https://doi.org/https://doi.org/10.1109/TFUZZ.91
- Shen, H., Men, Y., Wu, Z.-G., Cao, J., & Lu, G. (2019). Network-based quantized control for fuzzy singularly perturbed semi-Markov jump systems and its application. IEEE Transactions on Circuits and Systems I: Regular Papers, 66(3), 1130–1140. https://doi.org/https://doi.org/10.1109/TCSI.2018.2876937
- Shen, L., Niu, Y., & Gao, M. (2019). Distributed resilient filtering for time-varying systems over sensor networks subject to Round-Robin/stochastic protocol. ISA Transactions, 87, 55–67. https://doi.org/https://doi.org/10.1016/j.isatra.2018.11.012
- Shen, L., Niu, Y., Zou, L., Liu, Y., & Alsaadi, F. E. (2018). Finite-horizon state estimation for time-varying complex networks with random coupling strengths under Round-Robin protocol. Journal of the Franklin Institute, 355(15), 7417–7442. https://doi.org/https://doi.org/10.1016/j.jfranklin.2018.07.026
- Shen, Y., Wang, Z., Shen, B., Alsaadi, F. E., & Alsaadi, F. E. (2020b). Fusion estimation for multi-rate linear repetitive processes under weighted try-once-discard protocol. Information Fusion, 55, 281–291. https://doi.org/https://doi.org/10.1016/j.inffus.2019.08.013
- Shen, Y., Wang, Z., Shen, B., & Alsaadi, F. E. (2020a). H∞ filtering for multi-rate multi-sensor systems with randomly occurring sensor saturations under the p-persistent CSMA protocol. IET Control Theory & Applications, 14(10), 1255–1265. https://doi.org/https://doi.org/10.1049/cth2.v14.10
- Shen, B., Wang, Z., & Tan, H. (2018). Guaranteed cost control for uncertain nonlinear systems with mixed time-delays: The discrete-time case. European Journal of Control, 40, 62–67. https://doi.org/https://doi.org/10.1016/j.ejcon.2017.11.006
- Shen, B., Wang, Z., Wang, D., & Liu, H. (2020). Distributed state-saturated recursive filtering over sensor networks under Round-Robin protocol. IEEE Transactions on Cybernetics, 50(8), 3605–3615. https://doi.org/https://doi.org/10.1109/TCYB.6221036
- Shi, Y., & Peng, X. (2020). Fault detection filters design of polytopic uncertain discrete-time singular Markovian jump systems with time-varying delays. Journal of the Franklin Institute, 357(11), 7343–7367. https://doi.org/https://doi.org/10.1016/j.jfranklin.2020.04.058
- Song, J., Han, F., Fu, H., & Liu, H. (2019). Finite-horizon distributed H∞-consensus control of time-varying multi-agent systems with Round-Robin protocol. Neurocomputing, 364, 219–226. https://doi.org/https://doi.org/10.1016/j.neucom.2019.07.013
- Song, X., Wang, M., Ahn, C. K., & Song, S. (2020). Finite-time H∞ asynchronous control for nonlinear Markov jump distributed parameter systems via quantized fuzzy output-feedback approach. IEEE Transactions on Cybernetics, 50(9), 4098–4109. https://doi.org/https://doi.org/10.1109/TCYB.6221036
- Song, Y., Wang, Z., Ding, D., & Wei, G. (2019). Robust H2/H∞ model predictive control for linear systems with polytopic uncertainties under weighted MEF-TOD protocol. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 49(7), 1470–1481. https://doi.org/https://doi.org/10.1109/TSMC.6221021
- Song, J., Wang, Z., & Niu, Y. (2019). On H∞ sliding mode control under stochastic communication protocol. IEEE Transactions on Automatic Control, 64(5), 2174–2181. https://doi.org/https://doi.org/10.1109/TAC.9
- Song, X., Wang, M., Song, S., & Lu, J. (2020). Event-triggered reliable H∞ control for a class of nonlinear distributed parameter systems within a finite-time interval. Journal of the Franklin Institute, 357(16), 11368–11393. https://doi.org/https://doi.org/10.1016/j.jfranklin.2019.06.027
- Sun, X.-M., Liu, G.-P., Wang, W., & Rees, D. (2011). L2-gain of systems with input delays and controller temporary failure: zero-order hold model. IEEE Transactions on Control Systems Technology, 19(3), 699–706. https://doi.org/https://doi.org/10.1109/TCST.2010.2050320
- Sun, X.-M., Liu, K.-Z., Wen, C., & Wang, W. (2016). Predictive control of nonlinear continuous networked control systems with large time-varying transmission delays and transmission protocols. Automatica, 64, 76–85. https://doi.org/https://doi.org/10.1016/j.automatica.2015.11.001
- Tabbara, M., & Nešić, D. (2008). Input-output stability of networked control systems with stochastic protocols and channels. IEEE Transactions on Automatic Control, 53(5), 1160–1175. https://doi.org/https://doi.org/10.1109/TAC.2008.923691
- Tabbara, M., Nešić, D., & Teel, A. R. (2007). Stability of wireless and wireline networked control systems. IEEE Transactions on Automatic Control, 52(9), 1615–1630. https://doi.org/https://doi.org/10.1109/TAC.2007.904473
- Tabuada, P. (2007). Event-triggered real-time scheduling of stabilizing control tasks. IEEE Transactions on Automatic Control, 52(9), 1680–1685. https://doi.org/https://doi.org/10.1109/TAC.2007.904277
- Ugrinovskii, V., & Fridman, E. (2014). A Round-Robin type protocol for distributed estimation with H∞ consensus. Systems & Control Letters, 69, 103–110. https://doi.org/https://doi.org/10.1016/j.sysconle.2014.05.001
- Walsh, G. C., & Ye, H. (2001). Scheduling of networked control systems. IEEE Control Systems Magazine, 21(1), 57–65. https://doi.org/https://doi.org/10.1109/37.898792
- Walsh, G. C., Ye, H., & Bushbell, L. G. (2002). Stability analysis of networked control systems. IEEE Transactions on Control Systems Technology, 10(3), 438–446. https://doi.org/https://doi.org/10.1109/87.998034
- Wan, X., Wang, Z., Han, Q.-L., & Wu, M. (2019). A recursive approach to quantized H∞ state estimation for genetic regulatory networks under stochastic communication protocols. IEEE Transactions on Neural Networks and Learning Systems, 30(9), 2840–2852. https://doi.org/https://doi.org/10.1109/TNNLS.5962385
- Wan, X., Wang, Z., Wu, M., & Liu, X. (2019). H∞ state estimation for discrete-time nonlinear singularly perturbed complex networks under the Round-Robin protocol. IEEE Transactions on Neural Networks and Learning Systems, 30(2), 415–426. https://doi.org/https://doi.org/10.1109/TNNLS.2018.2839020
- Wang, F., Chen, B., Lin, C., Zhang, J., & Meng, X. (2018). Adaptive neural network finite-time output feedback control of quantized nonlinear systems. IEEE Transactions on Cybernetics, 48(6), 1839–1848. https://doi.org/https://doi.org/10.1109/TCYB.2017.2715980
- Wang, Y., Ding, S. X., Xu, D., & Shen, B. (2014). An H∞ fault estimation scheme of wireless networked control systems for industrial real-time applications. IEEE Transactions on Control Systems Technology, 22(6), 2073–2086. https://doi.org/https://doi.org/10.1109/TCST.2014.2305393
- Wang, W., Nešić, D., & Postoyan, R. (2015). Emulation-based stabilization of networked control systems implemented on FlexRay. Automatica, 59, 73–83. https://doi.org/https://doi.org/10.1016/j.automatica.2015.06.010
- Wang, J., Song, Y., Wei, G., & Dong, Y. (2019). Robust model predictive control for polytopic uncertain systems with state saturation nonlinearities under Round-Robin protocol. International Journal of Robust and Nonlinear Control, 29(6), 2188–2202. https://doi.org/https://doi.org/10.1002/rnc.v29.7
- Wang, J., Song, Y., & Wei, G. (2019). Dynamic output-feedback RMPC for systems with polytopic uncertainties under Round-Robin protocol. Journal of the Franklin Institute, 356(4), 2421–2439. https://doi.org/https://doi.org/10.1016/j.jfranklin.2018.10.035
- Wang, D., Wang, Z., Shen, B., & Li, Q. (2019). H∞ finite-horizon filtering for complex networks with state saturations: The weighted try-once-discard protocol. International Journal of Robust Nonlinear Control, 29(7), 2096–2111. https://doi.org/https://doi.org/10.1002/rnc.v29.7
- Wang, Z.-P., & Wum, H.-N. (2017). H∞ sampled-data fuzzy control for non-linear parabolic distributed parameter systems with control inputs missing. IET Control Theory & Applications, 11(10), 1530–1541. https://doi.org/https://doi.org/10.1049/cth2.v11.10
- Wang, Y.-W., Zhang, W.-A., Dong, H., & Zhu, J.-W. (2018). Generalized extended state observer based control for networked interconnected systems with delays. Asian Journal of Control, 20(3), 1253–1262. https://doi.org/https://doi.org/10.1002/asjc.v20.3
- Wang, F., Zhang, F., Zhou, S., & Huang, Y. (2019). Neural network-based finite-time control of quantized stochastic nonlinear systems. Neurocomputing, 362, 195–202. https://doi.org/https://doi.org/10.1016/j.neucom.2019.06.060
- Xu, Y., Lu, R., Shi, P., Li, H., & Xie, S. (2018). Finite-time distributed state estimation over sensor networks with Round-Robin protocol and fading channels. IEEE Transactions on Cybernetics, 48(1), 336–345. https://doi.org/https://doi.org/10.1109/TCYB.2016.2635122
- Xu, Y., Su, H., Pan, Y., Wu, Z., & Xu, W. (2013). Stability analysis of networked control systems with Round-Robin scheduling and packet dropouts. Journal of the Franklin Institute, 350(8), 2013–2027. https://doi.org/https://doi.org/10.1016/j.jfranklin.2013.05.024
- Yang, H., & Yin, S. (2019). Actuator and sensor fault estimation for tme-delay Markov jump systems with application to wheeled mobile manipulators. IEEE Transactions on Industrial Informatics, 16(5), 3222–3232. https://doi.org/https://doi.org/10.1109/TII.9424
- Yuan, Y., Shi, M., Guo, L., & Yang, H. (2019). A resilient consensus strategy of near-optimal control for state-saturated multiagent systems with round-robin protocol. International Journal of Robust and Nonlinear Control, 29(10), 3200–3216. https://doi.org/https://doi.org/10.1002/rnc.v29.10
- Yuan, Y., Wang, Z., Zhang, P., & Liu, H. (2019). Near-optimal resilient control strategy design for state-saturated networked systems under stochastic communication protocol. IEEE Transactions on Cybernetics, 49(8), 3155–3167. https://doi.org/https://doi.org/10.1109/TCYB.6221036
- Yuan, Y., Zhang, P., Wang, Z., & Chen, Y. (2020). Noncooperative event-triggered control strategy design with Round-Robin protocol: Applications to load frequency control of circuit systems. IEEE Transactions on Industrial Electronics, 67(3), 2155–2166. https://doi.org/https://doi.org/10.1109/TIE.41
- Zhang, W., Branicky, M. S., & Phillips, S. M. (2001). Stability of networked control systems. IEEE Control Systems Magazine, 21(1), 84–99. https://doi.org/https://doi.org/10.1109/37.898794
- Zhang, L., Gao, H., & Kaynak, O. (2013). Network-induced constraints in networked control systems-a survey. IEEE Transactions on Industrial Informatics, 9(1), 403–416. https://doi.org/https://doi.org/10.1109/TII.2012.2219540
- Zhang, X.-M., Han, Q.-L., Ge, X., Ding, D., Ding, L., Yue, D., & Peng, C. (2019). Networked control systems: A survey of trends and techniques. IEEE/CAA Journal of Automatica Sinica, 7, 1–17. https://doi.org/https://doi.org/10.1109/JAS.2019.1911651
- Zhang, X.-M., Han, Q.-L., & Ge, X. (2018). A novel finite-sum inequality-based method for robust H∞ control of uncertain discrete-time Takagi–Sugeno fuzzy systems with interval-like time-varying delays. IEEE Transactions on Cybernetics, 48(9), 2569–2582. https://doi.org/https://doi.org/10.1109/TCYB.6221036
- Zhang, X.-M., Han, Q.-L., & Yu, X. (2016). Survey on recent advances in networked control systems. IEEE Transactions on Industrial Informatics, 12(5), 1740–1752. https://doi.org/https://doi.org/10.1109/TII.2015.2506545
- Zhang, X.-M., Han, Q.-L., & Zhang, B.-L. (2017). An overview and deep investigation on sampled-data-based event-triggered control and filtering for networked systems. IEEE Transactions on Industrial Informatics, 13(1), 4–16. https://doi.org/https://doi.org/10.1109/TII.2016.2607150
- Zhang, H., Hu, J., Liu, H., Yu, X., & Liu, F. (2019). Recursive state estimation for time-varying complex networks subject to missing measurements and stochastic inner coupling under random access protocol. Neurocomputing, 346, 49–57. https://doi.org/https://doi.org/10.1016/j.neucom.2018.07.086
- Zhang, J., & Peng, C. (2019). Networked H∞ filtering under a weighted TOD protocol. Automatica, 107, 333–341. https://doi.org/https://doi.org/10.1016/j.automatica.2019.05.064
- Zhang, J., Peng, C., Fei, M.-R., & Tian, Y.-C. (2017). Output feedback control of networked systems with a stochastic communication protocol. Journal of the Franklin Institute, 354(9), 3838–3853. https://doi.org/https://doi.org/10.1016/j.jfranklin.2016.02.009
- Zhang, L., Shi, Y., Chen, T., & Huang, B. (2005). A new method for stabilization of networked control systems with random delays. IEEE Transactions on Automatic Control, 50(8), 1177–1181. https://doi.org/https://doi.org/10.1109/TAC.2005.852550
- Zhang, W., Xu, D., Jiang, B., & Pan, T. (2021). Prescribed performance based model-free adaptive slidingmode constrained control for a class of nonlinear systems. Information Sciences, 544, 97–116. https://doi.org/https://doi.org/10.1016/j.ins.2020.06.061
- Zhang, W., Yu, L., & Feng, G. (2015). Stabilization of linear discrete-time networked control systems via protocol and controller co-design. International Journal of Robust and Nonlinear Control, 25(16), 3072–3085. https://doi.org/https://doi.org/10.1002/rnc.3248
- Zhang, F., Zhang, Q., & Li, J. (2018). Networked control for T-S fuzzy descriptor systems with network-induced delay and packet disordering. Neurocomputing, 275, 2264–2278. https://doi.org/https://doi.org/10.1016/j.neucom.2017.11.007
- Zhao, H., Niu, Y., & Jia, T. (2020). Security control of cyber-physical switched systems under Round-Robin protocol: Input-to-state stability in probability. Information Sciences, 508, 121–134. https://doi.org/https://doi.org/10.1016/j.ins.2019.08.056
- Zhao, Z., Wang, Z., Zou, L., & Wang, Z. (2018). Finite-horizon H∞ state estimation for artificial neural networks with component-based distributed delays and stochastic protocol. Neurocomputing, 321, 169–177. https://doi.org/https://doi.org/10.1016/j.neucom.2018.08.031
- Zhou, C., Du, M., & Chen, Q. (2012). Co-design of dynamic scheduling and H∞ control for networked control systems. Applied Mathematics and Computation, 218(21), 10767–10775. https://doi.org/https://doi.org/10.1016/j.amc.2012.04.035
- Zhou, C., Lu, H., Ren, J., & Chen, Q. (2015). Co-design of dynamic scheduling and quantized control for networked control systems. Journal of the Franklin Institute, 352(10), 3988–4003. https://doi.org/https://doi.org/10.1016/j.jfranklin.2015.05.043
- Zhou, L., & Wei, Y. (2015). Stability analysis of networked control systems based on Lp properties. International Journal of Control, Automation, and Systems, 13(2), 390–397. https://doi.org/https://doi.org/10.1007/s12555-014-0092-6
- Zhu, C., Guo, G., Yang, B., & Wang, Z. (2015). Networked optimal control with random medium access protocol and packet dropouts. Mathematical Problems in Engineering, 2015, 105416.https://doi.org/https://doi.org/10.1155/2015/105416
- Zhu, K., Song, Y., & Ding, D. (2018). Resilient RMPC for polytopic uncertain systems under TOD protocol: A switched system approach. International Journal of Robust and Nonlinear Control, 28(16), 5103–5117. https://doi.org/https://doi.org/10.1002/rnc.v28.16
- Zhu, K., Song, Y., Ding, D., Wei, G., & Liu, H. (2018). Robust MPC under event-triggered mechanism and Round-Robin protocol: An average dwell-time approach. Information Sciences, 457-458, 126–140. https://doi.org/https://doi.org/10.1016/j.ins.2018.04.052
- Zou, L., Wang, Z., Gao, H., & Alsaadi, F. E. (2017). Finite-horizon H∞ consensus control of time-varying multiagent systems with stochastic communication protocol. IEEE Transactions on Cybernetics, 47(8), 1830–1840. https://doi.org/https://doi.org/10.1109/TCYB.2017.2685425
- Zou, L., Wang, Z., & Gao, H. (2016a). Observer-based H∞ control of networked systems with stochastic communication protocol: The finite-horizon case. Automatica, 63, 366–373. https://doi.org/https://doi.org/10.1016/j.automatica.2015.10.045
- Zou, L., Wang, Z., & Gao, H. (2016b). Set-membership filtering for time-varying systems with mixed time-delays under Round-Robin and weighted try-once-discard protocols. Automatica, 74, 341–348. https://doi.org/https://doi.org/10.1016/j.automatica.2016.07.025
- Zou, L., Wang, Z., Gao, H., & Liu, X. (2017). State estimation for discrete-time dynamical networks with time-varying delays and stochastic disturbances under the Round-Robin protocol. IEEE Transactions on Neural Networks and Learning Systems, 28(5), 1139–1151. https://doi.org/https://doi.org/10.1109/TNNLS.5962385
- Zou, L., Wang, Z., Han, Q.-L., & Zhou, D. (2017). Ultimate boundedness control for networked systems with Try-Once-Discard protocol and uniform quantization effects. IEEE Transactions on Automatic Control, 62(12), 6582–6588. https://doi.org/https://doi.org/10.1109/TAC.2017.2713353
- Zou, L., Wang, Z., Han, Q.-L., & Zhou, D. (2019a). Recursive filtering for time-varying systems with random access protocol. IEEE Transactions on Automatic Control, 64(12), 720–727. https://doi.org/https://doi.org/10.1109/TAC.9
- Zou, L., Wang, Z., Han, Q.-L., & Zhou, D. (2019b). Moving horizon estimation for networked time-delay systems under Round-Robin protocol. IEEE Transactions on Automatic Control, 64(12), 5191–5198. https://doi.org/https://doi.org/10.1109/TAC.9
- Zou, L., Wang, Z., Han, Q.-L., & Zhou, D. (2019c). Moving horizon estimation for networked nonlinear systems with random access protocol. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51, 2937–2948. https://doi.org/https://doi.org/10.1109/TSMC.6221021
- Zou, L., Wang, Z., Han, Q.-L., & Zhou, D. (2019d). Full information estimation for time-varying systems subject to Round-Robin scheduling: A recursive filter approach. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51, 1904–1916. https://doi.org/https://doi.org/10.1109/TSMC.6221021
- Zou, L., Wang, Z., Hu, J., & Gao, H. (2017). On H∞ finite-horizon filtering under stochastic protocol: Dealing with high-rate communication networks. IEEE Transactions on Automatic Control, 62(9), 4884–4890. https://doi.org/https://doi.org/10.1109/TAC.2017.2691310
- Zou, L., Wen, T., Wang, Z., Chen, L., & Roberts, C. (2019). State estimation for communication-based train control systems with CSMA protocol. IEEE Transactions on Intelligent Transportation Systems, 20(3), 843–854. https://doi.org/https://doi.org/10.1109/TITS.2018.2835655