References
- Abbas, G., Manzoor, S., & Hussain, M. (2018). A stateless fairness-driven active queue management scheme for efficient and fair bandwidth allocation in congested internet routers. Telecommunication Systems, 67(1), 3–20. https://doi.org/https://doi.org/10.1007/s11235-017-0306-3
- Abolfazli, E., & Shah-Mansouri, V. (2015, 30 August to 2 September). Robust congestion control for TCP/AQM using integral backstepping control. Presented at IEEE 26th International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Hong Kong (pp. 1840–1844).
- Ali, H. I., & Khalid, K. S. (2016). Swarm intelligence based robust active queue management design for congestion control in TCP network. IEEJ Transactions on Electrical and Electronic Engineering, 11(3), 308–324. https://doi.org/https://doi.org/10.1002/tee.22220
- Azadegan, M., Beheshti, M. T. H., & Tavassoli, B. (2015). Design of proportional-derivative-type state feedback controllers for congestion control of transmission control protocol networks. International Journal of Systems Science, 46(10), 1774–1779. https://doi.org/https://doi.org/10.1080/00207721.2013.835002
- Baburaj, P., & Bandyopadhyay, B. (2014). Finite-time sliding mode flow control design via reduced model for a connection-oriented communication network. Journal of the Franklin Institute, 351(11), 4960–4977. https://doi.org/https://doi.org/10.1016/j.jfranklin.2014.07.012
- Balasundaram, K., Raja, R., Pratap, A., & Chandrasekaran, S. (2019). Impulsive effects on competitive neural networks with mixed delays: Existence and exponential stability analysis. Mathematics and Computers in Simulation, 155, 290–302. https://doi.org/https://doi.org/10.1016/j.matcom.2018.05.008
- Chavan, K., Kumar, R. G., Belur, M. N., & Karandikar, A. (2011). Robust active queue management for wireless networks. IEEE Transactions on Control Systems Technology, 19(6), 1630–1638. https://doi.org/https://doi.org/10.1109/TCST.2010.2081671
- Cui, Y., Fei, M., & Du, D. (2016). Design of a robust observer-based memoryless H∞ control for internet congestion. International Journal of Robust and Nonlinear Control, 26(8), 1732–1747. https://doi.org/https://doi.org/10.1002/rnc.3377
- Dong, T., Liao, X., & Huang, T. (2013). Dynamics of a congestion control model in a wireless access network. Nonlinear Analysis: Real World Applications, 14(1), 671–683. https://doi.org/https://doi.org/10.1016/j.nonrwa.2012.07.025
- Edwards, C., & Spurgeon, S. K. (1998). Sliding mode control: Theory and applications. Taylor and Francis.
- Foo, Y. K., Moayedi, M., & Soh, Y. C. (2016). Networked LQG control over lossy channels with computational/packet-transmission delays and coarsely quantized packets. International Journal of Systems Science, 47(6), 1330–1341. https://doi.org/https://doi.org/10.1080/00207721.2014.924601
- Guesmi, H., & Djemal, R. (2013). Design of priority-based active queue management for a high-performance IP switch. Computers & Electrical Engineering, 39(2), 246–260. https://doi.org/https://doi.org/10.1016/j.compeleceng.2012.11.012
- Hamidian, H., & Beheshti, M. T. H. (2018). A robust fractional-order PID controller design based on active queue management for TCP network. International Journal of Systems Science, 49(1), 211–216. https://doi.org/https://doi.org/10.1080/00207721.2017.1397801
- Han, C., Diao, Q., Chang, S., Bi, S., Liu, L., & Pang, Z. (2016, May 28–30). Optimal active queue management for internet with reduced-order state-observer. Presented at 28th Chinese Control Decision Conference (CCDC), China (pp. 1261–1263).
- Han, X., Lu, J., & Zhao, G. (2019). Optimal fusion state estimator for a multi-sensor system subject to multiple packet dropouts. Journal of Control and Decision, 8(2), 175–183. https://doi.org/https://doi.org/10.1080/23307706.2019.1683901.
- Hassan, M., & Jain, R. (2004). ‘Introduction’ in high performance TCP/IP networking. Prentice Hall.
- Hollot, C. V., Misra, V., & Towsley, D. (2002). Analysis and design of the controllers for AQM routers supporting TCP flows. IEEE Transactions on Automatic Control, 47(6), 945–959. https://doi.org/https://doi.org/10.1109/TAC.2002.1008360
- Hollot, C. V., Misra, V., Towsley, D., & Gong, W. B. (2001, April 22–26). On designing improved controllers for AQM routers supporting TCP flows. Presented at 20th Annual Joint Conference of the IEEE Computer Communications Society, Anchorage, USA (pp. 1–9).
- Holloway, J., & Krstic, M. (2016). Predictor observers for proportional navigation systems subjected to seeker delay. IEEE Transactions on Control Systems Technology, 24(6), 2002–2015. https://doi.org/https://doi.org/10.1109/TCST.2016.2526666
- Kahe, G., & Jahangir, A. H. (2019). A self-tuning controller for queueing delay regulation in TCP/AQM networks. Telecommunication Systems, 71(2), 215–229. https://doi.org/https://doi.org/10.1007/s11235-018-0526-1
- Khoshnevisan, L., & Salmasi, F. R. (2015a). Adaptive rate-based congestion control with weighted fairness through multi-loop gradient projection internal model controller. IET Control Theory & Applications, 9(18), 2641–2647. https://doi.org/https://doi.org/10.1049/iet-cta.2015.0057
- Khoshnevisan, L., & Salmasi, F. R. (2015b). A rate-based robust queue management system through multi-loop internal model controller with initial value compensation. Journal of Control and Decision, 2(4), 257–277. https://doi.org/https://doi.org/10.1080/23307706.2015.1087351
- Khoshnevisan, L., & Salmasi, F. R. (2018, May 8–10). A switched rate-based robust queue management for wireless access networks. Presented at the 26th Iran Conference in Electrical Engineering (ICEE), Mashhad, Iran.
- Khoshnevisan, L., Liu, X., & Salmasi, F. R. (2019). Stability and Hopf bifurcation analysis of a TCP/RAQM network with ISMC procedure. Chaos, Solitons and Fractals, 118(2019), 255–273. https://doi.org/https://doi.org/10.1016/j.chaos.2018.11.029
- Khoshnevisan, L., Salmasi, F. R., & Shah-Mansouri, V. (2015, March 9–12). Robust queue management for TCP-based large round trip time networks with wireless access link. Presented at IEEE WCNC, New Orleans, LA, USA (pp. 1309–1313).
- Khoshnevisan, L., Salmasi, F. R., & Shah-Mansouri, V. (2016, May 10–12). An adaptive rate-based congestion control with weighted fairness for large round trip time wireless access networks. Presented at the 24th Iran Conference on Electrical Engineering (ICEE), Shiraz, Iran.
- Lee, J., Chang, H., & Jin, M. (2017). Adaptive integral sliding mode control with time-delay estimation for robot manipulators. IEEE Transactions on Industrial Electronics, 64(8), 6796–6804. https://doi.org/https://doi.org/10.1109/TIE.2017.2698416
- Lefrouni, K., & Ellaia, R. (2015). Congestion control in TCP network with observer-based state-feedback and geometric considerations. Applied Mathematical Sciences, 9(100), 4987–4996. https://doi.org/https://doi.org/10.12988/ams.2015.57473
- Lestas, M., Ioannou, P., Pitsillides, A., & Hadjipollas, G. (2017). Global asymptotic stability of max-min congestion control schemes. IMA Journal of Mathematical Control and Information, 34(1), 179–201. https://doi.org/https://doi.org/10.1093/imamci/dnv040
- Liu, X., Dou, L., & Sun, J. (2016). Consensus for networked multi-agent systems with unknown communication delays. Journal of the Franklin Institute, 353(16), 4176–4190. https://doi.org/https://doi.org/10.1016/j.jfranklin.2016.08.005
- Liu, H., & Yu, H. (2017). An event-triggered approach to robust state estimation for wireless sensor networks. Journal of Control and Decision, 4(4), 263–275. https://doi.org/https://doi.org/10.1080/23307706.2017.1358117
- Liu, Z., Zhang, Y., & Chen, C. L. P. (2013). Adaptive mechanism-based congestion control for networked systems. International Journal of Systems Science, 44(3), 533–544. https://doi.org/https://doi.org/10.1080/00207721.2011.617525
- Low, S., Paganini, F., & Doyle, J. (2002). Internet congestion control: An analytical perspective. IEEE Control Systems Magazine, 22(1), 28–43. https://doi.org/https://doi.org/10.1109/37.980245
- Manfredi, S., Di Bernardo, M., & Garofalo, F. (2009). Design, validation and experimental testing of a robust AQM control. Control Engineering Practice, 17(3), 394–407. https://doi.org/https://doi.org/10.1016/j.conengprac.2008.09.013
- Misra, V., Gong, W. B., & Towsley, D. (2000). Fluid-based analysis of a network of AQM routers supporting TCP flows with an application of RED. ACM/SIGCOM, 30(4), 151–160. https://doi.org/https://doi.org/10.1145/347059.347421
- Padhye, J., Firoiu, V., Towsley, D., & Kuros, J. (1998, September 2–4). Modelling TCP throughput: A simple model and its empirical validation. Presented at ACM/SIGCOMM 98, Vancouver, Canada (pp. 304–314).
- Quet, P. F., Ataslar, B., Iftar, A., Ozbay, H., Kalyanaraman, S., & Kang, T. (2002). Rate-based flow controllers for communication networks in the presence of uncertain time-varying multiple time-delays. Automatica 38(6), 917–928. https://doi.org/https://doi.org/10.1016/S0005-1098(01)00276-X
- Rahme, S., Labit, Y., Gouaisbaut, F., & Floquet, T. (2013). Sliding modes for anomaly observation in TCP networks: From theory to practice. IEEE Transactions on Control Systems Technology, 21(3), 1031–1038. https://doi.org/https://doi.org/10.1109/TCST.2012.2198648
- Shelke, M. P., Malhotra, A., & Mahalle, P. (2017). A packet priority intimation-based data transmission for congestion free traffic management in wireless sensor networks. Computers & Electrical Engineering, 64, 248–261. https://doi.org/https://doi.org/10.1016/j.compeleceng.2017.03.007.
- Shorten, R., King, C., Wirth, F., & Leith, D. (2007). Modelling TCP congestion control dynamics in drop-tail environments. Automatica, 43(3), 441–449. https://doi.org/https://doi.org/10.1016/j.automatica.2006.07.026
- Shorten, R. N., Leith, D. J., Foy, J., & Kilduff, R. (2005). Analysis and design of AIMD congestion control algorithms in communication networks. Automatica, 41(4), 725–730. https://doi.org/https://doi.org/10.1016/j.automatica.2004.09.017
- Tang, B., Wang, J., & Zhang, Y. (2015). A delay-distribution approach to stabilization of networked control systems. IEEE Transactions on Control of Network Systems, 2(4), 382–392. https://doi.org/https://doi.org/10.1109/TCNS.2015.2426731
- Tianxiang, Q., & Hao, W. (2016, July 27–29). PID sliding mode controller design and application to active queue management. Presented at 35th Chinese Control Conference, Chengdu, China (pp. 6917–6922).
- Tong, S., Min, X., & Li, Y. (2020). Observer-based adaptive fuzzy tracking control for strict feedback nonlinear systems with unknown control gain functions. IEEE Transactions Cybernetics, 50(9), 3903–3913. https://doi.org/https://doi.org/10.1109/TCYB.2020.2977175
- Utkin, V., & Shi, J. (1996, December 13–13). Integral sliding mode in systems operating under uncertainty conditions. Presented at the 35th Conference on Decision Control, Kobe, Japan (pp. 1–6). doi:https://doi.org/10.1109/CDC.1996.577594.
- Wang, P., Zhu, D., & Lu, X. (2017). Active queue management algorithm based on data-driven predictive control. Telecommunication Systems, 64(1), 103–111. https://doi.org/https://doi.org/10.1007/s11235-016-0162-6
- Wen, T., Chen, C., Ding, Z., & Yang, T. C. (2008, July 6–11). A novel AQM scheme for wireless networks with BER estimation. Presented at the 17th World Congress IFAC, Seoul, Korea (pp. 2919–2924).
- Wen, T., & Ding, Z. (2010, June 9–11). Online optimal queue scheme for enhanced transport over wireless links. Presented at the 8th IEEE International Conference on Communications in China, China (pp. 1519–1524). IEEE International Conference on Control and Automation (ICCA). https://doi.org/https://doi.org/10.1109/ICCA.2010.5524444
- Wigren, T., & Karaki, R. (2018). Globally stable wireless data flow control. IEEE Transactions on Control of Network Systems, 5(1), 469–478. https://doi.org/https://doi.org/10.1109/TCNS.2016.2619906
- Xu, Q., & Sun, J. (2014). A simple active queue management based on the prediction of the packet arrival rate. Journal of Network and Computer Applications, 42, 12–20. https://doi.org/https://doi.org/10.1016/j.jnca.2014.03.006
- Yang, X., & Li, Z. (2013). Congestion control based on multiple model adaptive control. Mathematical Problems in Engineering, 2013(12), 1–8. https://doi.org/https://doi.org/10.1155/2013/714320
- Yu, H., Guo, S., Wang, F., & Yang, Y. (2018). Dynamic time-delayed feedback control of Westwood + TCP flow control model with communication delay. IMA Journal of Mathematical Control and Information, 35(3), 1005–1025. https://doi.org/https://doi.org/10.1093/imamci/dnx011
- Yu, C., Yuanwei, J., Jingyang, W., & Xuan, W. (2015, May 23–25). The minimax control based on T-S model applied to AQM. Presented at 27th Chinese Control and Decision Conference, Qingdao (pp. 1906–1909).
- Zhang, M., Zhang, Y., Ouyang H, M. C., & Cheng, X. (2020). Adaptive integral sliding mode control with payload sway reduction for 4-DOF tower crane systems. Nonlinear Dynamics, 99, 2727–2741. https://doi.org/https://doi.org/10.1007/s11071-020-05471-3
- Zheng, F., & Nelson, J. (2007). An Hinf approach to congestion control design for AQM routers supporting TCP flows in wireless access networks. Computer Networks, 51(6), 1684–1704. https://doi.org/https://doi.org/10.1016/j.comnet.2006.09.003
- Zhu, Q., Lu, K., & Zhu, Y. (2016). Guaranteed cost control of networked control systems under transmission control protocol with active queue management. Asian Journal of Control, 18(4), 1546–1557. https://doi.org/https://doi.org/10.1002/asjc.1228