Event-triggered dual-mode predictive control for constrained nonlinear NCSs subject to disturbances and packet dropouts

References

• Berglind, J. B., Gommans, T. M. P., & Heemels, W. P. M. H. (2012). Self-triggered MPC for constrained linear systems and quadratic costs. IFAC Proceedings Volumes, 45(17), 342–348. https://doi.org/10.3182/20120823-5-NL-3013.00058
   Google Scholar
• Brunner, F. D., Heemels, M., & Allgöwer, F. (2016). Robust self-triggered MPC for constrained linear systems: A tube-based approach. Automatica, 72, 73–83. https://doi.org/10.1016/j.automatica.2016.05.004
   Web of Science ®Google Scholar
• Chen, H., & Allgöwer, F. (1998). A quasi-infinite horizon nonlinear model predictive control scheme with guaranteed stability. Automatica, 34(10), 1205–1217. https://doi.org/10.1016/S0005-1098(98)00073-9
   Web of Science ®Google Scholar
• Dolk, V., & Heemels, M. (2017). Event-triggered control systems under packet losses. Automatica, 80, 143–155. https://doi.org/10.1016/j.automatica.2017.02.029
   Web of Science ®Google Scholar
• Eqtami, A., Dimarogonas, D. V., & Kyriakopoulos, K. J. (2011). Novel event-triggered strategies for model predictive controllers. In 2011 50th IEEE Conference on Decision and Control and European Control Conference (pp. 3392–3397), Orlando, FL, USA, December 12-15, 2011.
   Google Scholar
• Ge, X., Han, Q., Ding, L., Wang, Y., & Zhang, X. (2020). Dynamic event-triggered distributed coordination control and its applications: A survey of trends and techniques. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 50(9), 3112–3125. https://doi.org/10.1109/TSMC.6221021
   Web of Science ®Google Scholar
• Hashimoto, K., Adachi, S., & Dimarogonas, D. V. (2017). Self-triggered model predictive control for nonlinear input-affine dynamical systems via adaptive control samples selection. IEEE Transactions on Automatic Control, 62(1), 177–189. https://doi.org/10.1109/TAC.2016.2537741
   Web of Science ®Google Scholar
• 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/10.1109/TAC.2010.2042352
   Web of Science ®Google Scholar
• Hu, X., Yu, H., Hao, F., & Luo, Y. (2020). Event-triggered model predictive control for disturbed linear systems under two-channel transmissions. International Journal of Robust and Nonlinear Control, 30(16), 6701–6719. https://doi.org/10.1002/rnc.v30.16
   Web of Science ®Google Scholar
• Jin, Q., Wu, S., & Zhang, R. (2020). Improved constrained model predictive tracking control for networked coke furnace systems over uncertainty and communication loss. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 50(5), 1877–1884. https://doi.org/10.1109/TSMC.6221021
   Web of Science ®Google Scholar
• Köhler, J., Müller, M. A., & Allgöwer, F. (2020). A nonlinear model predictive control framework using reference generic terminal ingredients. IEEE Transactions on Automatic Control, 65(8), 3756–3583. https://doi.org/10.1109/TAC.2019.2949350
   Web of Science ®Google Scholar
• Li, H., Han, C., Zhang, H., & Xie, L. (2021). Optimal control and stabilization for networked systems with input delay and Markovian packet losses. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51(7), 4453–4465. 10.1109/TSMC.2019.2938792
   Web of Science ®Google Scholar
• Li, H., & Shi, Y. (2013). Networked min-max model predictive control of constrained nonlinear systems with delays and packet dropouts. International Journal of Control, 86(4), 610–624. https://doi.org/10.1080/00207179.2012.751628
   Web of Science ®Google Scholar
• Li, H., & Shi, Y. (2014a). Network-based predictive control for constrained nonlinear systems with two-channel packet dropouts. IEEE Transactions on Industrial Electronics, 61(3), 1574–1582. https://doi.org/10.1109/TIE.2013.2261039
   Web of Science ®Google Scholar
• Li, H., & Shi, Y. (2014b). Event-triggered robust model predictive control of continuous-time nonlinear systems. Automatica, 50(5), 1507–1513. https://doi.org/10.1016/j.automatica.2014.03.015
   Web of Science ®Google Scholar
• Li, H., Yan, W., & Shi, Y. (2018). Triggering and control codesign in self-triggered model predictive control of constrained systems: With guaranteed performance. IEEE Transactions on Automatic Control, 63(11), 4008–4015. https://doi.org/10.1109/TAC.9
   Web of Science ®Google Scholar
• Li, P., Kang, Y., Zhao, Y., & Wang, T. (2021a). Networked dual-mode adaptive horizon MPC for constrained nonlinear systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51(12), 7435–7449. https://doi.org/10.1109/TSMC.2020.2971241
   Web of Science ®Google Scholar
• Li, P., Kang, Y., Zhao, Y., & Wang, T. (2021b). A novel self-triggered MPC scheme for constrained input-affine nonlinear systems. IEEE Transactions on Circuits and Systems II: Express Briefs, 68(1), 306–310. https://doi.org/10.1109/TCSII.2020.2999408
   Web of Science ®Google Scholar
• Limón, D., Alamo, T., Salas, F., & E. F. Camacho (2006). Input to state stability of min-max MPC controllers for nonlinear systems with bounded uncertainties. Automatica, 42(5), 797–803. https://doi.org/10.1016/j.automatica.2006.01.001
   Web of Science ®Google Scholar
• Liu, C., Li, H., Gao, J., & Xu, D. (2018). Robust self-triggered min-max model predictive control for discrete-time nonlinear systems. Automatica, 89, 333–339. https://doi.org/10.1016/j.automatica.2017.12.034
   Web of Science ®Google Scholar
• Liu, C., Li, H., Shi, Y., & Xu, D. (2020). Codesign of event trigger and feedback policy in robust model predictive control. IEEE Transactions on Automatic Control, 65(1), 302–309. https://doi.org/10.1109/TAC.9
   Web of Science ®Google Scholar
• Liu, G., Sun, J., & Zhao, Y. (2013). Design, analysis and real-time implementation of networked predictive control systems. Acta Automatica Sinica, 39(11), 1769–1777. https://doi.org/10.1016/S1874-1029(13)60076-2
   Google Scholar
• Luo, Y., Xia, Y., & Sun, Z. (2019). Robust event-triggered model predictive control for constrained linear continuous system. International Journal of Robust and Nonlinear Control, 29(5), 1216–1229. https://doi.org/10.1002/rnc.v29.5
   Web of Science ®Google Scholar
• Magni, L., De Nicolao, G., Scattolini, R., & Allgöwer, F. (2003). Robust model predictive control for nonlinear discrete-time systems. International Journal of Robust and Nonlinear Control, 13(3-4), 229–246. https://doi.org/10.1002/rnc.815
   Web of Science ®Google Scholar
• Marruedo, D. L., Alamo, T., & Camacho, E. F. (2002). Input-to-state stable MPC for constrained discrete-time nonlinear systems with bounded additive uncertainties. In 41st IEEE International Conference on Decision and Control (pp. 4619–4624), Las Vegas, NV, USA, 2002.
   Google Scholar
• Mayne, D. Q. (2014). Model predictive control: Recent developments and future promise. Automatica, 50(12), 2967–2986. https://doi.org/10.1016/j.automatica.2014.10.128
   Web of Science ®Google Scholar
• Mayne, D. Q. (2016). Robust and stochastic model predictive control: Are we going in the right direction? Annual Reviews in Control, 41, 184–192. https://doi.org/10.1016/j.arcontrol.2016.04.006
   Web of Science ®Google Scholar
• Mayne, D. Q., Rawlings, J. B., Rao, C. V., & Scokaert, P. O. M. (2000). Constrained model predictive control: Stability and optimality. Automatica, 36(6), 789–814. https://doi.org/10.1016/S0005-1098(99)00214-9
   Web of Science ®Google Scholar
• Mi, X., Zou, Y., Li, S., & Karimi, H. R. (2020). Self-triggered DMPC design for cooperative multiagent systems. IEEE Transactions on Industrial Electronics, 67(1), 512–520. https://doi.org/10.1109/TIE.41
   Web of Science ®Google Scholar
• Michalska, H., & Mayne, D. Q. (1993). Robust receding horizon control of constrained nonlinear systems. IEEE Transactions on Automatic Control, 38(11), 1623–1633. https://doi.org/10.1109/9.262032
   Web of Science ®Google Scholar
• Pin, G., & Parisini, T.. (2009). Networked predictive control of constrained nonlinear systems: Recursive feasibility and Input-to-State Stability analysis. In 2009 American Control Conference (pp. 2327–2334), St. Louis, Missouri, USA, 2009.
   Google Scholar
• Pin, G., & Parisini, T. (2011). Networked predictive control of uncertain constrained nonlinear systems: Recursive feasibility and input-to-state stability analysis. IEEE Transactions on Automatic Control, 56(1), 72–87. https://doi.org/10.1109/TAC.2010.2051091
   Web of Science ®Google Scholar
• Qin, S. J., & Badgwell, T. A. (2003). A survey of industrial model predictive control technology. Control Engineering Practice, 11(7), 733–764. https://doi.org/10.1016/S0967-0661(02)00186-7
   Web of Science ®Google Scholar
• Quevedo, D. E., & Nešić, D. (2011). Input-to-state stability of packetized predictive control over unreliable networks affected by packet-dropouts. IEEE Transactions on Automatic Control, 56(2), 370–375. https://doi.org/10.1109/TAC.2010.2095950
   Web of Science ®Google Scholar
• Quevedo, D. E., Silva, E. I., & Goodwin, G. C. (2007). Packetized predictive control over erasure channels. In 2007 American Control Conference (pp. 1003–1008), New York City, USA, July 11-13, 2007.
   Google Scholar
• Rawlings, J. B., & Mayne, D. Q. (2009). Model predictive control: Theory and design. Nob Hill Publishing.
   Google Scholar
• Sun, Z., Dai, L., Liu, K., Dimarogonas, D. V., & Xia, Y. (2019). Robust self-triggered MPC with adaptive prediction horizon for perturbed nonlinear systems. IEEE Transactions on Automatic Control, 64(11), 4780–4787. https://doi.org/10.1109/TAC.9
   Web of Science ®Google Scholar
• Sun, Z., Dai, L., Xia, Y., & Liu, K. (2018). Event-based model predictive tracking control of nonholonomic systems with coupled input constraint and bounded disturbances. IEEE Transactions on Automatic Control, 63(2), 608–615. https://doi.org/10.1109/TAC.9
   Web of Science ®Google Scholar
• Tabuada, P. (2007). Event-triggered real-time scheduling of stabilizing control tasks. IEEE Transactions on Automatic Control, 52(9), 1680–1685. https://doi.org/10.1109/TAC.2007.904277
   Web of Science ®Google Scholar
• Tang, P. L., & De Silva, C. W. (2006). Compensation for transmission delays in an ethernet-based control network using variable-horizon predictive control. IEEE Transactions on Control Systems Technology, 14(4), 707–718. https://doi.org/10.1109/TCST.2006.876640
   Web of Science ®Google Scholar
• Wang, M., Sun, J., & Chen, J. (2019a). Event-based model predictive control of discrete-time non-linear systems with external disturbances. IET Control Theory & Applications, 13(1), 27–35. https://doi.org/10.1049/cth2.v13.1
   Web of Science ®Google Scholar
• Wang, M., Sun, J., & Chen, J. (2019b). Input-to-state stability of perturbed nonlinear systems with event-triggered receding horizon control scheme. IEEE Transactions on Industrial Electronics, 66(8), 6393–6403. https://doi.org/10.1109/TIE.2018.2874581
   Web of Science ®Google Scholar
• Xie, H., Dai, L., Luo, Y., & Xia, Y. (2021). Robust MPC for disturbed nonlinear discrete-time systems via a composite self-triggered scheme. Automatica, 127, 109499. https://doi.org/10.1016/j.automatica.2021.109499
   Web of Science ®Google Scholar
• Yang, H., Guo, X., Dai, L., & Xia, Y. (2018). Event-triggered predictive control for networked control systems with network-induced delays and packet dropouts. International Journal of Robust and Nonlinear Control, 28(4), 1350–1365. https://doi.org/10.1002/rnc.v28.4
   Web of Science ®Google Scholar
• Yu, H., & Hao, F. (2017). Input-to-state stability of integral-based event-triggered control for linear plants. Automatica, 85, 248–255. https://doi.org/10.1016/j.automatica.2017.07.068
   Web of Science ®Google Scholar
• Zhang, C., Feng, G., Qiu, J., & Shen, Y. (2013). Control synthesis for a class of linear network-based systems with communication constraints. IEEE Transactions on Industrial Electronics, 60(8), 3339–3348. https://doi.org/10.1109/TIE.2012.2202363
   Web of Science ®Google Scholar